Frank Nielsen - RankMe

350 papers A* 18A 7B 19C 2Misc 16Journal 191Unranked 82

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Geometric Science of Information - 7th International Conference, GSI 2025, Saint-Malo, France, October 29-31, 2025, Proceedings, Part I GSI (1) Frank Nielsen, Frédéric Barbaresco
2026	—	`ed.`	Geometric Science of Information - 7th International Conference, GSI 2025, Saint-Malo, France, October 29-31, 2025, Proceedings, Part II GSI (2) Frank Nielsen, Frédéric Barbaresco
2026	—	`ed.`	Geometric Science of Information - 7th International Conference, GSI 2025, Saint-Malo, France, October 29-31, 2025, Proceedings, Part III GSI (3) Frank Nielsen, Frédéric Barbaresco
2026	J	`jnl`	Geometric structures and deviations on James' symmetric positive-definite matrix bicone domain. CoRR Jacek Karwowski, Frank Nielsen
2026	J	`jnl`	Quadratic polarity and polar Fenchel-Young divergences from the canonical Legendre polarity. CoRR Frank Nielsen, Basile Plus-Gourdon, Mahito Sugiyama
2025	J	`jnl`	A note on the Artstein-Avidan-Milman's generalized Legendre transforms. CoRR Frank Nielsen
2025	J	`jnl`	Any interior point of a finite interval on the real line can be interpreted as dual Fréchet means. CoRR Frank Nielsen
2025	—	`conf`	Curved Representational Bregman Divergences and Their Applications. GSI (2) Frank Nielsen
2025	J	`jnl`	Curved representational Bregman divergences and their applications. CoRR Frank Nielsen
2025	—	`conf`	Fast Equivariant K-Means on SPD Matrices Using Log-Extrinsic Means. GSI (3) Gabriel Trindade, Emmanuel Chevallier, André Nicolet, Frank Nielsen
2025	J	`jnl`	Generalized Legendre Transforms Have Roots in Information Geometry. Entropy Frank Nielsen
2025	J	`jnl`	Geometric Jensen-Shannon Divergence Between Gaussian Measures On Hilbert Space. CoRR Minh Ha Quang, Frank Nielsen
2025	—	`conf`	Geometric Jensen-Shannon Divergence Between Gaussian Measures on Hilbert Space. GSI (2) Hà Quang Minh, Frank Nielsen
2025	J	`jnl`	Hilbert geometry of the symmetric positive-definite bicone: Application to the geometry of the extended Gaussian family. CoRR Jacek Karwowski, Frank Nielsen
2025	J	`jnl`	Mirror Descent and Exponentiated Gradient Algorithms Using Trace-Form Entropies. Entropy Andrzej Cichocki, Toshihisa Tanaka, Frank Nielsen, Sergio Cruces
2025	J	`jnl`	Two Types of Geometric Jensen-Shannon Divergences. Entropy Frank Nielsen
2025	J	`jnl`	Two tales for a geometric Jensen-Shannon divergence. CoRR Frank Nielsen
2024	A*	`conf`	A Rate-Distortion View of Uncertainty Quantification. ICML Ifigeneia Apostolopoulou, Benjamin Eysenbach, Frank Nielsen, Artur Dubrawski
2024	J	`jnl`	A Rate-Distortion View of Uncertainty Quantification. CoRR Ifigeneia Apostolopoulou, Benjamin Eysenbach, Frank Nielsen, Artur Dubrawski
2024	J	`jnl`	Adaptive CoRR Alexandre Luis Magalhaes Levada, Frank Nielsen, Michel Ferreira Cardia Haddad
2024	J	`jnl`	Approximation and bounding techniques for the Fisher-Rao distances. CoRR Frank Nielsen
2024	J	`jnl`	Divergences Induced by the Cumulant and Partition Functions of Exponential Families and Their Deformations Induced by Comparative Convexity. Entropy Frank Nielsen
2024	J	`jnl`	Fast Proxy Centers for the Jeffreys Centroid: The Jeffreys-Fisher-Rao Center and the Gauss-Bregman Inductive Center. Entropy Frank Nielsen
2024	J	`jnl`	Fast proxy centers for Jeffreys centroids: The Jeffreys-Fisher-Rao and the inductive Gauss-Bregman centers. CoRR Frank Nielsen
2024	A*	`conf`	Hyperbolic Embeddings of Supervised Models. NeurIPS Richard Nock, Ehsan Amid, Frank Nielsen, Alexander Soen, Manfred K. Warmuth
2024	J	`jnl`	On the f-divergences between densities of a multivariate location or scale family. Stat. Comput. Frank Nielsen, Kazuki Okamura
2024	A*	`conf`	Optimal Transport with Tempered Exponential Measures. AAAI Ehsan Amid, Frank Nielsen, Richard Nock, Manfred K. Warmuth
2024	J	`jnl`	Symplectic Bregman Divergences. Entropy Frank Nielsen
2024	J	`jnl`	Symplectic Bregman divergences. CoRR Frank Nielsen
2024	J	`jnl`	Tempered Calculus for ML: Application to Hyperbolic Model Embedding. CoRR Richard Nock, Ehsan Amid, Frank Nielsen, Alexander Soen, Manfred K. Warmuth
2024	J	`jnl`	What is an inductive mean? CoRR Frank Nielsen
2024	J	`jnl`	pyBregMan: A Python library for Bregman Manifolds. CoRR Frank Nielsen, Alexander Soen
2023	J	`jnl`	A Simple Approximation Method for the Fisher-Rao Distance between Multivariate Normal Distributions. Entropy Frank Nielsen
2023	J	`jnl`	A numerical approximation method for the Fisher-Rao distance between multivariate normal distributions. CoRR Frank Nielsen
2023	J	`jnl`	Beyond scalar quasi-arithmetic means: Quasi-arithmetic averages and quasi-arithmetic mixtures in information geometry. CoRR Frank Nielsen
2023	J	`jnl`	Divergences induced by dual subtractive and divisive normalizations of exponential families and their convex deformations. CoRR Frank Nielsen
2023	—	`conf`	Fisher-Rao and pullback Hilbert cone distances on the multivariate Gaussian manifold with applications to simplification and quantization of mixtures. TAG-ML Frank Nielsen
2023	J	`jnl`	Fisher-Rao distance and pullback SPD cone distances between multivariate normal distributions. CoRR Frank Nielsen
2023	—	`ed.`	Geometric Science of Information - 6th International Conference, GSI 2023, St. Malo, France, August 30 - September 1, 2023, Proceedings, Part I GSI (1) Frank Nielsen, Frédéric Barbaresco
2023	—	`ed.`	Geometric Science of Information - 6th International Conference, GSI 2023, St. Malo, France, August 30 - September 1, 2023, Proceedings, Part II GSI (2) Frank Nielsen, Frédéric Barbaresco
2023	—	`conf`	Non-linear Embeddings in Hilbert Simplex Geometry. TAG-ML Frank Nielsen, Ke Sun
2023	J	`jnl`	On f-Divergences Between Cauchy Distributions. IEEE Trans. Inf. Theory Frank Nielsen, Kazuki Okamura
2023	—	`conf`	On the f-Divergences Between Hyperboloid and Poincaré Distributions. GSI (1) Frank Nielsen, Kazuki Okamura
2023	J	`jnl`	Optimal Transport with Tempered Exponential Measures. CoRR Ehsan Amid, Frank Nielsen, Richard Nock, Manfred K. Warmuth
2023	—	`conf`	Partial K-Means with M Outliers: Mathematical Programs and Complexity Results. OLA Nicolas Dupin, Frank Nielsen
2023	J	`jnl`	Partial k-means to avoid outliers, mathematical programming formulations, complexity results. CoRR Nicolas Dupin, Frank Nielsen
2023	J	`jnl`	Product Jacobi-Theta Boltzmann machines with score matching. CoRR Andrea Di Pasquale, Daniel Krefl, Stefano Carrazza, Frank Nielsen
2023	—	`conf`	Quasi-arithmetic Centers, Quasi-arithmetic Mixtures, and the Jensen-Shannon $\nabla $-Divergences. GSI (1) Frank Nielsen
2023	A*	`conf`	Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning. ICML Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt
2023	J	`jnl`	Simplifying Momentum-based Riemannian Submanifold Optimization. CoRR Wu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt
2023	J	`jnl`	The Tempered Hilbert Simplex Distance and Its Application To Non-linear Embeddings of TEMs. CoRR Ehsan Amid, Frank Nielsen, Richard Nock, Manfred K. Warmuth
2022	J	`jnl`	A note on the f-divergences between multivariate location-scale families with either prescribed scale matrices or location parameters. CoRR Frank Nielsen, Kazuki Okamura
2022	J	`jnl`	Generalizing the Alpha-Divergences and the Oriented Kullback-Leibler Divergences with Quasi-Arithmetic Means. Algorithms Frank Nielsen
2022	J	`jnl`	Information geometry of the Tojo-Yoshino's exponential family on the Poincaré upper plane. CoRR Frank Nielsen, Kazuki Okamura
2022	J	`jnl`	Non-linear Embeddings in Hilbert Simplex Geometry. CoRR Frank Nielsen, Ke Sun
2022	J	`jnl`	On the Influence of Enforcing Model Identifiability on Learning dynamics of Gaussian Mixture Models. CoRR Pascal Mattia Esser, Frank Nielsen
2022	J	`jnl`	Revisiting Chernoff Information with Likelihood Ratio Exponential Families. CoRR Frank Nielsen
2022	J	`jnl`	Revisiting Chernoff Information with Likelihood Ratio Exponential Families. Entropy Frank Nielsen
2022	J	`jnl`	Rho-Tau Bregman Information and the Geometry of Annealing Paths. CoRR Rob Brekelmans, Frank Nielsen
2022	J	`jnl`	Statistical Divergences between Densities of Truncated Exponential Families with Nested Supports: Duo Bregman and Duo Jensen Divergences. Entropy Frank Nielsen
2022	J	`jnl`	The duo Fenchel-Young divergence. CoRR Frank Nielsen
2021	J	`jnl`	A note on some information-theoretic divergences between Zeta distributions. CoRR Frank Nielsen
2021	—	`conf`	Classification in the Siegel Space for Vectorial Autoregressive Data. GSI Yann Cabanes, Frank Nielsen
2021	—	`conf`	Computing Statistical Divergences with Sigma Points. GSI Frank Nielsen, Richard Nock
2021	J	`jnl`	Fast Approximations of the Jeffreys Divergence between Univariate Gaussian Mixtures via Mixture Conversions to Exponential-Polynomial Distributions. Entropy Frank Nielsen
2021	J	`jnl`	Fast approximations of the Jeffreys divergence between univariate Gaussian mixture models via exponential polynomial densities. CoRR Frank Nielsen
2021	—	`ed.`	Geometric Science of Information - 5th International Conference, GSI 2021, Paris, France, July 21-23, 2021, Proceedings GSI Frank Nielsen, Frédéric Barbaresco
2021	—	`ed.`	Geometric Structures of Statistical Physics, Information Geometry, and Learning - SPIGL'20, Les Houches, France, July 27-31 SPIGL Frédéric Barbaresco, Frank Nielsen
2021	J	`jnl`	On $f$-divergences between Cauchy distributions. CoRR Frank Nielsen, Kazuki Okamura
2021	J	`jnl`	On a Variational Definition for the Jensen-Shannon Symmetrization of Distances Based on the Information Radius. Entropy Frank Nielsen
2021	J	`jnl`	On a Variational Definition for the Jensen-Shannon Symmetrization of Distances based on the Information Radius. CoRR Frank Nielsen
2021	—	`conf`	On f-divergences Between Cauchy Distributions. GSI Frank Nielsen, Kazuki Okamura
2021	J	`jnl`	On information projections between multivariate elliptical and location-scale families. CoRR Frank Nielsen
2021	J	`jnl`	On the Kullback-Leibler divergence between discrete normal distributions. CoRR Frank Nielsen
2021	J	`jnl`	Structured second-order methods via natural gradient descent. CoRR Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt
2021	J	`jnl`	The dually flat information geometry of the mixture family of two prescribed Cauchy components. CoRR Frank Nielsen
2021	J	`jnl`	Towards Modeling and Resolving Singular Parameter Spaces using Stratifolds. CoRR Pascal Mattia Esser, Frank Nielsen
2021	J	`jnl`	Tractable structured natural gradient descent using local parameterizations. CoRR Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt
2021	A*	`conf`	Tractable structured natural-gradient descent using local parameterizations. ICML Wu Lin, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt
2021	—	`conf`	cCorrGAN: Conditional Correlation GAN for Learning Empirical Conditional Distributions in the Elliptope. GSI Gautier Marti, Victor Goubet, Frank Nielsen
2021	J	`jnl`	cCorrGAN: Conditional Correlation GAN for Learning Empirical Conditional Distributions in the Elliptope. CoRR Gautier Marti, Victor Goubet, Frank Nielsen
2021	J	`jnl`	q-Neurons: Neuron Activations Based on Stochastic Jackson's Derivative Operators. IEEE Trans. Neural Networks Learn. Syst. Frank Nielsen, Ke Sun
2021	J	`jnl`	q-Paths: Generalizing the Geometric Annealing Path using Power Means. CoRR Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood
2021	A	`conf`	q-Paths: Generalizing the geometric annealing path using power means. UAI Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood
2020	J	`jnl`	A generalization of the α-divergences based on comparable and distinct weighted means. CoRR Frank Nielsen
2020	J	`jnl`	A note on Onicescu's informational energy and correlation coefficient in exponential families. CoRR Frank Nielsen
2020	J	`jnl`	An Elementary Introduction to Information Geometry. Entropy Frank Nielsen
2020	J	`jnl`	Annealed Importance Sampling with q-Paths. CoRR Rob Brekelmans, Vaden Masrani, Thang Bui, Frank Wood, Aram Galstyan, Greg Ver Steeg, Frank Nielsen
2020	J	`jnl`	Anticipation-RNN: enforcing unary constraints in sequence generation, with application to interactive music generation. Neural Comput. Appl. Gaëtan Hadjeres, Frank Nielsen
2020	—	`conf`	Clustering a 2d Pareto Front: P-center Problems Are Solvable in Polynomial Time. OLA Nicolas Dupin, Frank Nielsen, El-Ghazali Talbi
2020	J	`jnl`	Cumulant-free closed-form formulas for some common (dis)similarities between densities of an exponential family. CoRR Frank Nielsen, Richard Nock
2020	J	`jnl`	Hilbert geometry of the Siegel disk: The Siegel-Klein disk model. CoRR Frank Nielsen
2020	J	`jnl`	Likelihood Ratio Exponential Families. CoRR Rob Brekelmans, Frank Nielsen, Alireza Makhzani, Aram Galstyan, Greg Ver Steeg
2020	J	`jnl`	On Voronoi Diagrams on the Information-Geometric Cauchy Manifolds. Entropy Frank Nielsen
2020	J	`jnl`	On Voronoi diagrams and dual Delaunay complexes on the information-geometric Cauchy manifolds. CoRR Frank Nielsen
2020	J	`jnl`	On a Generalization of the Jensen-Shannon Divergence and the Jensen-Shannon Centroid. Entropy Frank Nielsen
2020	—	`conf`	Quasiconvex Jensen Divergences and Quasiconvex Bregman Divergences. SPIGL Frank Nielsen, Gaëtan Hadjeres
2020	J	`jnl`	The Siegel-Klein Disk: Hilbert Geometry of the Siegel Disk Domain. Entropy Frank Nielsen
2019	J	`jnl`	A closed-form formula for the Kullback-Leibler divergence between Cauchy distributions. CoRR Frédéric Chyzak, Frank Nielsen
2019	J	`jnl`	A note on the quasiconvex Jensen divergences and the quasiconvex Bregman divergences derived thereof. CoRR Frank Nielsen, Gaëtan Hadjeres
2019	—	`ed.`	Geometric Science of Information - 4th International Conference, GSI 2019, Toulouse, France, August 27-29, 2019, Proceedings GSI Frank Nielsen, Frédéric Barbaresco
2019	—	`conf`	Geometry and Fixed-Rate Quantization in Riemannian Metric Spaces Induced by Separable Bregman Divergences. GSI Erika Gomes-Gonçalves, Henryk Gzyl, Frank Nielsen
2019	J	`jnl`	Information-Geometric Set Embeddings (IGSE): From Sets to Probability Distributions. CoRR Ke Sun, Frank Nielsen
2019	—	`conf`	K-Medoids Clustering Is Solvable in Polynomial Time for a 2d Pareto Front. WCGO Nicolas Dupin, Frank Nielsen, El-Ghazali Talbi
2019	J	`jnl`	Lightlike Neuromanifolds, Occam's Razor and Deep Learning. CoRR Ke Sun, Frank Nielsen
2019	J	`jnl`	On a generalization of the Jensen-Shannon divergence and the JS-symmetrization of distances relying on abstract means. CoRR Frank Nielsen
2019	J	`jnl`	On a generalization of the Jensen-Shannon divergence. CoRR Frank Nielsen
2019	J	`jnl`	On geodesic triangles with right angles in a dually flat space. CoRR Frank Nielsen
2019	J	`jnl`	On power chi expansions of f-divergences. CoRR Frank Nielsen, Gaëtan Hadjeres
2019	J	`jnl`	On the Jensen-Shannon Symmetrization of Distances Relying on Abstract Means. Entropy Frank Nielsen
2019	J	`jnl`	On the Kullback-Leibler divergence between location-scale densities. CoRR Frank Nielsen
2019	J	`jnl`	Planar p-center problems are solvable in polynomial time when clustering a Pareto Front. CoRR Nicolas Dupin, Frank Nielsen, El-Ghazali Talbi
2019	A	`conf`	Sinkhorn AutoEncoders. UAI Giorgio Patrini, Rianne van den Berg, Patrick Forré, Marcello Carioni, Samarth Bhargav, Max Welling, Tim Genewein, Frank Nielsen
2019	—	`conf`	The Bregman Chord Divergence. GSI Frank Nielsen, Richard Nock
2019	—	`conf`	The Statistical Minkowski Distances: Closed-Form Formula for Gaussian Mixture Models. GSI Frank Nielsen
2019	J	`jnl`	The statistical Minkowski distances: Closed-form formula for Gaussian Mixture Models. CoRR Frank Nielsen
2018	J	`jnl`	An elementary introduction to information geometry. CoRR Frank Nielsen
2018	J	`jnl`	Computational Information Geometry for Binary Classification of High-Dimensional Random Tensors. Entropy Gia-Thuy Pham, Rémy Boyer, Frank Nielsen
2018	J	`jnl`	Geometry and clustering with metrics derived from separable Bregman divergences. CoRR Erika Gomes-Gonçalves, Henryk Gzyl, Frank Nielsen
2018	J	`jnl`	Guaranteed Deterministic Bounds on the Total Variation Distance between Univariate Mixtures. CoRR Frank Nielsen, Ke Sun
2018	—	`conf`	Guaranteed Deterministic Bounds on the total variation Distance between univariate mixtures. MLSP Frank Nielsen, Ke Sun
2018	J	`jnl`	Monte Carlo Information Geometry: The dually flat case. CoRR Frank Nielsen, Gaëtan Hadjeres
2018	J	`jnl`	On The Chain Rule Optimal Transport Distance. CoRR Frank Nielsen, Ke Sun
2018	—	`conf`	On the Angular Resolution Limit Uncertainty. EUSIPCO Maria S. Greco, Rémy Boyer, Frank Nielsen
2018	Misc	`conf`	On the Geometry of Mixtures of Prescribed Distributions. ICASSP Frank Nielsen, Richard Nock
2018	J	`jnl`	Sinkhorn AutoEncoders. CoRR Giorgio Patrini, Marcello Carioni, Patrick Forré, Samarth Bhargav, Max Welling, Rianne van den Berg, Tim Genewein, Frank Nielsen
2018	J	`jnl`	The Bregman chord divergence. CoRR Frank Nielsen, Richard Nock
2018	Misc	`conf`	The Chord Gap Divergence and a Generalization of the Bhattacharyya Distance. ICASSP Frank Nielsen
2018	J	`jnl`	q-Neurons: Neuron Activations based on Stochastic Jackson's Derivative Operators. CoRR Frank Nielsen, Ke Sun
2017	J	`jnl`	A generalization of the Jensen divergence: The chord gap divergence. CoRR Frank Nielsen
2017	—	`conf`	Bregman Divergences from Comparative Convexity. GSI Frank Nielsen, Richard Nock
2017	J	`jnl`	Clustering in Hilbert simplex geometry. CoRR Frank Nielsen, Ke Sun
2017	Misc	`conf`	Combinatorial bounds on the α-divergence of univariate mixture models. ICASSP Frank Nielsen, Ke Sun
2017	J	`jnl`	Deep rank-based transposition-invariant distances on musical sequences. CoRR Gaëtan Hadjeres, Frank Nielsen
2017	A*	`conf`	DeepBach: a Steerable Model for Bach Chorales Generation. ICML Gaëtan Hadjeres, François Pachet, Frank Nielsen
2017	J	`jnl`	Distribution-free Evolvability of Vector Spaces: All it takes is a Generating Set. CoRR Richard Nock, Frank Nielsen
2017	J	`jnl`	GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures. CoRR Gaëtan Hadjeres, Frank Nielsen, François Pachet
2017	—	`conf`	GLSR-VAE: Geodesic latent space regularization for variational autoencoder architectures. SSCI Gaëtan Hadjeres, Frank Nielsen, François Pachet
2017	J	`jnl`	Generalizing Jensen and Bregman divergences with comparative convexity and the statistical Bhattacharyya distances with comparable means. CoRR Frank Nielsen, Richard Nock
2017	J	`jnl`	Generalizing Skew Jensen Divergences and Bregman Divergences With Comparative Convexity. IEEE Signal Process. Lett. Frank Nielsen, Richard Nock
2017	—	`ed.`	Geometric Science of Information - Third International Conference, GSI 2017, Paris, France, November 7-9, 2017, Proceedings GSI Frank Nielsen, Frédéric Barbaresco
2017	Misc	`conf`	Information geometry metric for random signal detection in large random sensing systems. ICASSP Rémy Boyer, Frank Nielsen
2017	J	`jnl`	Interactive Music Generation with Positional Constraints using Anticipation-RNNs. CoRR Gaëtan Hadjeres, Frank Nielsen
2017	J	`jnl`	MaxEnt Upper Bounds for the Differential Entropy of Univariate Continuous Distributions. IEEE Signal Process. Lett. Frank Nielsen, Richard Nock
2017	A*	`conf`	On Balls in a Hilbert Polygonal Geometry (Multimedia Contribution). SoCG Frank Nielsen, Laëtitia Shao
2017	J	`jnl`	On Hölder Projective Divergences. Entropy Frank Nielsen, Ke Sun, Stéphane Marchand-Maillet
2017	J	`jnl`	On Hölder projective divergences. CoRR Frank Nielsen, Ke Sun, Stéphane Marchand-Maillet
2017	—	`conf`	On the Error Exponent of a Random Tensor with Orthonormal Factor Matrices. GSI Rémy Boyer, Frank Nielsen
2017	J	`jnl`	On w-mixtures: Finite convex combinations of prescribed component distributions. CoRR Frank Nielsen, Richard Nock
2017	A*	`conf`	Relative Fisher Information and Natural Gradient for Learning Large Modular Models. ICML Ke Sun, Frank Nielsen
2017	A*	`conf`	Tsallis Regularized Optimal Transport and Ecological Inference. AAAI Boris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen
2017	—	`conf`	k-Means Clustering with Hölder Divergences. GSI Frank Nielsen, Ke Sun, Stéphane Marchand-Maillet
2016	J	`jnl`	A series of maximum entropy upper bounds of the differential entropy. CoRR Frank Nielsen, Richard Nock
2016	B	`conf`	Classification with mixtures of curved mahalanobis metrics. ICIP Frank Nielsen, Boris Muzellec, Richard Nock
2016	A*	`conf`	Clustering Financial Time Series: How Long Is Enough?. IJCAI Gautier Marti, Sébastien Andler, Frank Nielsen, Philippe Donnat
2016	Misc	`conf`	Comix: Joint estimation and lightspeed comparison of mixture models. ICASSP Olivier Schwander, Stéphane Marchand-Maillet, Frank Nielsen
2016	—	`conf`	Exploring and measuring non-linear correlations: Copulas, Lightspeed Transportation and Clustering. NIPS Time Series Workshop Gautier Marti, Sébastien Andler, Frank Nielsen, Philippe Donnat
2016	J	`jnl`	Fast $(1+ε)$-approximation of the Löwner extremal matrices of high-dimensional symmetric matrices. CoRR Frank Nielsen, Richard Nock
2016	J	`jnl`	Guaranteed Bounds on Information-Theoretic Measures of Univariate Mixtures Using Piecewise Log-Sum-Exp Inequalities. Entropy Frank Nielsen, Ke Sun
2016	J	`jnl`	Guaranteed Bounds on the Kullback-Leibler Divergence of Univariate Mixtures. IEEE Signal Process. Lett. Frank Nielsen, Ke Sun
2016	J	`jnl`	Guaranteed bounds on the Kullback-Leibler divergence of univariate mixtures using piecewise log-sum-exp inequalities. CoRR Frank Nielsen, Ke Sun
2016	J	`jnl`	Image and Information. CoRR Frank Nielsen
2016	—	`book`	Introduction to HPC with MPI for Data Science Frank Nielsen
2016	J	`jnl`	Large Margin Nearest Neighbor Classification using Curved Mahalanobis Distances. CoRR Frank Nielsen, Boris Muzellec, Richard Nock
2016	A*	`conf`	Loss factorization, weakly supervised learning and label noise robustness. ICML Giorgio Patrini, Frank Nielsen, Richard Nock, Marcello Carioni
2016	J	`jnl`	Loss factorization, weakly supervised learning and label noise robustness. CoRR Giorgio Patrini, Frank Nielsen, Richard Nock, Marcello Carioni
2016	J	`jnl`	On Conformal Divergences and Their Population Minimizers. IEEE Trans. Inf. Theory Richard Nock, Frank Nielsen, Shun-ichi Amari
2016	Misc	`conf`	Optimal copula transport for clustering multivariate time series. ICASSP Gautier Marti, Frank Nielsen, Philippe Donnat
2016	—	`conf`	Optimal transport vs. Fisher-Rao distance between copulas for clustering multivariate time series. SSP Gautier Marti, Sébastien Andler, Frank Nielsen, Philippe Donnat
2016	B	`conf`	Patch Matching with Polynomial Exponential Families and Projective Divergences. SISAP Frank Nielsen, Richard Nock
2016	B	`conf`	Quantifying the Invariance and Robustness of Permutation-Based Indexing Schemes. SISAP Stéphane Marchand-Maillet, Edgar Roman-Rangel, Hisham Mohamed, Frank Nielsen
2016	J	`jnl`	Relative Natural Gradient for Learning Large Complex Models. CoRR Ke Sun, Frank Nielsen
2016	J	`jnl`	SSSC-AM: A Unified Framework for Video Co-Segmentation by Structured Sparse Subspace Clustering with Appearance and Motion Features. CoRR Junlin Yao, Frank Nielsen
2016	B	`conf`	SSSC-AM: A unified framework for video co-segmentation by structured sparse subspace clustering with appearance and motion features. ICIP Junlin Yao, Frank Nielsen
2016	J	`jnl`	Tsallis Regularized Optimal Transport and Ecological Inference. CoRR Boris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen
2016	A*	`conf`	k-variates++: more pluses in the k-means++. ICML Richard Nock, Raphaël Canyasse, Roksana Boreli, Frank Nielsen
2016	J	`jnl`	k-variates++: more pluses in the k-means++. CoRR Richard Nock, Raphaël Canyasse, Roksana Boreli, Frank Nielsen
2015	C	`conf`	A Proposal of a Methodological Framework with Experimental Guidelines to Investigate Clustering Stability on Financial Time Series. ICMLA Gautier Marti, Philippe Very, Philippe Donnat, Frank Nielsen
2015	J	`jnl`	A proposal of a methodological framework with experimental guidelines to investigate clustering stability on financial time series. CoRR Gautier Marti, Philippe Very, Philippe Donnat, Frank Nielsen
2015	—	`conf`	Approximating Covering and Minimum Enclosing Balls in Hyperbolic Geometry. GSI Frank Nielsen, Gaëtan Hadjeres
2015	—	`conf`	Bag-of-Components: An Online Algorithm for Batch Learning of Mixture Models. GSI Olivier Schwander, Frank Nielsen
2015	—	`conf`	Clustering Random Walk Time Series. GSI Gautier Marti, Frank Nielsen, Philippe Very, Philippe Donnat
2015	J	`jnl`	Comment partitionner automatiquement des marches aléatoires ? Avec application à la finance quantitative. CoRR Gautier Marti, Frank Nielsen, Philippe Very, Philippe Donnat
2015	J	`jnl`	Gentle Nearest Neighbors Boosting over Proper Scoring Rules. IEEE Trans. Pattern Anal. Mach. Intell. Richard Nock, Wafa Bel Haj Ali, Roberto D'Ambrosio, Frank Nielsen, Michel Barlaud
2015	—	`ed.`	Geometric Science of Information - Second International Conference, GSI 2015, Palaiseau, France, October 28-30, 2015, Proceedings GSI Frank Nielsen, Frédéric Barbaresco
2015	J	`jnl`	HCMapper: An interactive visualization tool to compare partition-based flat clustering extracted from pairs of dendrograms. CoRR Gautier Marti, Philippe Donnat, Frank Nielsen, Philippe Very
2015	—	`conf`	Online k-MLE for Mixture Modeling with Exponential Families. GSI Christophe Saint-Jean, Frank Nielsen
2015	J	`jnl`	Optimal Copula Transport for Clustering Multivariate Time Series. CoRR Gautier Marti, Frank Nielsen, Philippe Donnat
2015	Misc	`conf`	Total Jensen divergences: Definition, properties and clustering. ICASSP Frank Nielsen, Richard Nock
2014	J	`jnl`	A note on the optimal scalar Bregman k-means clustering with an application to learning best statistical mixtures. CoRR Frank Nielsen, Richard Nock
2014	J	`jnl`	Further heuristics for $k$-means: The merge-and-split heuristic and the $(k, l)$-means. CoRR Frank Nielsen, Richard Nock
2014	J	`jnl`	Further results on the hyperbolic Voronoi diagrams. CoRR Frank Nielsen, Richard Nock
2014	J	`jnl`	Generalized Bhattacharyya and Chernoff upper bounds on Bayes error using quasi-arithmetic means. CoRR Frank Nielsen
2014	J	`jnl`	Generalized Bhattacharyya and Chernoff upper bounds on Bayes error using quasi-arithmetic means. Pattern Recognit. Lett. Frank Nielsen
2014	J	`jnl`	On Clustering Histograms with Entropy Frank Nielsen, Richard Nock, Shun-ichi Amari
2014	J	`jnl`	On the Chi Square and Higher-Order Chi Distances for Approximating $f$ -Divergences. IEEE Signal Process. Lett. Frank Nielsen, Richard Nock
2014	J	`jnl`	Optimal Interval Clustering: Application to Bregman Clustering and Statistical Mixture Learning. IEEE Signal Process. Lett. Frank Nielsen, Richard Nock
2014	A*	`conf`	Visualizing hyperbolic Voronoi diagrams. SoCG Frank Nielsen, Richard Nock
2013	—	`conf`	A New Implementation of k-MLE for Mixture Modeling of Wishart Distributions. GSI Christophe Saint-Jean, Frank Nielsen
2013	J	`jnl`	An Information-Geometric Characterization of Chernoff Information. IEEE Signal Process. Lett. Frank Nielsen
2013	—	`conf`	Consensus Region Merging for Image Segmentation. ACPR Frank Nielsen, Richard Nock
2013	J	`jnl`	Cramer-Rao Lower Bound and Information Geometry CoRR Frank Nielsen
2013	—	`conf`	Fast Learning of Gamma Mixture Models with k-MLE. SIMBAD Olivier Schwander, Frank Nielsen
2013	—	`ed.`	Geometric Science of Information - First International Conference, GSI 2013, Paris, France, August 28-30, 2013. Proceedings GSI Frank Nielsen, Frédéric Barbaresco
2013	—	`conf`	Hypothesis Testing, Information Divergence and Computational Geometry. GSI Frank Nielsen
2013	—	`conf`	Information-geometric lenses for multiple foci+contexts interfaces. SIGGRAPH ASIA Technical Briefs Richard Nock, Frank Nielsen
2013	J	`jnl`	Jeffreys Centroids: A Closed-Form Expression for Positive Histograms and a Guaranteed Tight Approximation for Frequency Histograms. IEEE Signal Process. Lett. Frank Nielsen
2013	J	`jnl`	Logging safely in public spaces using color PINs CoRR Frank Nielsen
2013	—	`conf`	Non-linear book manifolds: learning from associations the dynamic geometry of digital libraries. JCDL Richard Nock, Frank Nielsen, Eric Briys
2013	J	`jnl`	On approximating the Riemannian 1-center. Comput. Geom. Marc Arnaudon, Frank Nielsen
2013	J	`jnl`	On conformal divergences and their population minimizers. CoRR Richard Nock, Frank Nielsen, Shun-ichi Amari
2013	J	`jnl`	On the Chi square and higher-order Chi distances for approximating f-divergences. CoRR Frank Nielsen, Richard Nock
2013	J	`jnl`	On the symmetrical Kullback-Leibler Jeffreys centroids CoRR Frank Nielsen
2013	—	`conf`	Pattern Learning and Recognition on Statistical Manifolds: An Information-Geometric Review. SIMBAD Frank Nielsen
2013	Misc	`conf`	Perspective click-and-drag area selections in pictures. MVA Frank Nielsen
2013	J	`jnl`	Total Jensen divergences: Definition, Properties and k-Means++ Clustering. CoRR Frank Nielsen, Richard Nock
2012	J	`jnl`	$k$-MLE: A fast algorithm for learning statistical mixture models CoRR Frank Nielsen
2012	—	`conf`	Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probability. MLMI Roberto D'Ambrosio, Wafa Bel Haj Ali, Richard Nock, Paolo Soda, Frank Nielsen, Michel Barlaud
2012	—	`conf`	Boosting Nearest Neighbors for the Efficient Estimation of Posteriors. ECML/PKDD (1) Roberto D'Ambrosio, Richard Nock, Wafa Bel Haj Ali, Frank Nielsen, Michel Barlaud
2012	J	`jnl`	Boosting k-NN for Categorization of Natural Scenes. Int. J. Comput. Vis. Richard Nock, Paolo Piro, Frank Nielsen, Wafa Bel Haj Ali, Michel Barlaud
2012	B	`conf`	Closed-form information-theoretic divergences for statistical mixtures. ICPR Frank Nielsen
2012	B	`conf`	Jensen divergence based SPD matrix means and applications. ICPR Frank Nielsen, Meizhu Liu, Xiaojing Ye, Baba C. Vemuri
2012	Misc	`conf`	K-MLE: A fast algorithm for learning statistical mixture models. ICASSP Frank Nielsen
2012	J	`jnl`	Leveraging k-NN for generic classification boosting. Neurocomputing Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud
2012	J	`jnl`	Medians and means in Finsler geometry. LMS J. Comput. Math. Marc Arnaudon, Frank Nielsen
2012	Misc	`conf`	Model centroids for the simplification of Kernel Density estimators. ICASSP Olivier Schwander, Frank Nielsen
2012	—	`conf`	Perspective dragging: quick area selection in photos. SIGGRAPH ASIA Posters Frank Nielsen
2012	J	`jnl`	Shape Retrieval Using Hierarchical Total Bregman Soft Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen
2012	J	`jnl`	The hyperbolic Voronoi diagram in arbitrary dimension CoRR Frank Nielsen, Richard Nock
2012	B	`conf`	k-MLE for mixtures of generalized Gaussians. ICPR Olivier Schwander, Aurelien J. Schutz, Frank Nielsen, Yannick Berthoumieu
2011	J	`jnl`	A closed-form expression for the Sharma-Mittal entropy of exponential families CoRR Frank Nielsen, Richard Nock
2011	J	`jnl`	Chernoff information of exponential families CoRR Frank Nielsen
2011	Misc	`conf`	Non-flat clustering with alpha-divergences. ICASSP Olivier Schwander, Frank Nielsen
2011	J	`jnl`	On Approximating the Riemannian 1-Center CoRR Marc Arnaudon, Frank Nielsen
2011	J	`jnl`	On Rényi and Tsallis entropies and divergences for exponential families CoRR Frank Nielsen, Richard Nock
2011	A*	`conf`	On tracking portfolios with certainty equivalents on a generalization of Markowitz model: the Fool, the Wise and the Adaptive. ICML Richard Nock, Brice Magdalou, Eric Briys, Frank Nielsen
2011	J	`jnl`	Skew Jensen-Bregman Voronoi Diagrams. Trans. Comput. Sci. Frank Nielsen, Richard Nock
2011	J	`jnl`	The Burbea-Rao and Bhattacharyya Centroids. IEEE Trans. Inf. Theory Frank Nielsen, Sylvain Boltz
2011	J	`jnl`	Total Bregman Divergence and Its Applications to DTI Analysis. IEEE Trans. Medical Imaging Baba C. Vemuri, Meizhu Liu, Shun-ichi Amari, Frank Nielsen
2011	B	`conf`	Video Stippling. ACIVS Thomas Houit, Frank Nielsen
2010	J	`jnl`	A family of statistical symmetric divergences based on Jensen's inequality CoRR Frank Nielsen
2010	B	`conf`	Bhattacharyya Clustering with Applications to Mixture Simplifications. ICPR Frank Nielsen, Sylvain Boltz, Olivier Schwander
2010	B	`conf`	Boosting Bayesian MAP Classification. ICPR Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud
2010	J	`jnl`	Boosting k-NN for categorization of natural scenes CoRR Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud
2010	J	`jnl`	Bregman Voronoi Diagrams. Discret. Comput. Geom. Jean-Daniel Boissonnat, Frank Nielsen, Richard Nock
2010	B	`conf`	Earth Mover Distance on superpixels. ICIP Sylvain Boltz, Frank Nielsen, Stefano Soatto
2010	B	`conf`	Entropies and cross-entropies of exponential families. ICIP Frank Nielsen, Richard Nock
2010	Misc	`conf`	Hierarchical Gaussian Mixture Model. ICASSP Vincent Garcia, Frank Nielsen, Richard Nock
2010	—	`conf`	Hyperbolic Voronoi Diagrams Made Easy. ICCSA Workshops Frank Nielsen, Richard Nock
2010	—	`conf`	Jensen-Bregman Voronoi Diagrams and Centroidal Tessellations. ISVD Frank Nielsen, Richard Nock
2010	—	`conf`	K-NN boosting prototype learning for object classification. WIAMIS Paolo Piro, Michel Barlaud, Richard Nock, Frank Nielsen
2010	B	`conf`	K-nearest neighbor search: Fast GPU-based implementations and application to high-dimensional feature matching. ICIP Vincent Garcia, Eric Debreuve, Frank Nielsen, Michel Barlaud
2010	J	`jnl`	Medians and means in Finsler geometry CoRR Marc Arnaudon, Frank Nielsen
2010	—	`conf`	Multi-class Leveraged ACCV (3) Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud
2010	B	`conf`	Randomized motion estimation. ICIP Sylvain Boltz, Frank Nielsen
2010	—	`conf`	Reranking with Contextual Dissimilarity Measures from Representational Bregman k-Means. VISAPP (1) Olivier Schwander, Frank Nielsen
2010	J	`jnl`	Simplification and hierarchical representations of mixtures of exponential families. Signal Process. Vincent Garcia, Frank Nielsen
2010	—	`conf`	Texture Regimes for Entropy-Based Multiscale Image Analysis. ECCV (3) Sylvain Boltz, Frank Nielsen, Stefano Soatto
2010	J	`jnl`	The Burbea-Rao and Bhattacharyya centroids CoRR Frank Nielsen, Sylvain Boltz
2010	A*	`conf`	Total Bregman divergence and its applications to shape retrieval. CVPR Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen
2010	J	`jnl`	Video Stippling CoRR Thomas Houit, Frank Nielsen
2009	—	`book`	A Concise and Practical Introduction to Programming Algorithms in Java. Frank Nielsen
2009	—	`conf`	Accuracy of distance metric learning algorithms. KDD Workshop on Data Mining using Matrices and Tensors Frank Nielsen, Aurélien Sérandour
2009	J	`jnl`	Approximating Smallest Enclosing Balls with Applications to Machine Learning. Int. J. Comput. Geom. Appl. Frank Nielsen, Richard Nock
2009	J	`jnl`	Bregman Divergences and Surrogates for Learning. IEEE Trans. Pattern Anal. Mach. Intell. Richard Nock, Frank Nielsen
2009	A	`conf`	Bregman vantage point trees for efficient nearest Neighbor Queries. ICME Frank Nielsen, Paolo Piro, Michel Barlaud
2009	—	`ed.`	Emerging Trends in Visual Computing, LIX Fall Colloquium, ETVC 2008, Palaiseau, France, November 18-20, 2008. Revised Invited Papers etvc Frank Nielsen
2009	J	`jnl`	Hyperbolic Voronoi diagrams made easy CoRR Frank Nielsen, Richard Nock
2009	J	`jnl`	Information geometries and Microeconomic Theories CoRR Richard Nock, Brice Magdalou, Nicolas Sanz, Eric Briys, Fred Celimene, Frank Nielsen
2009	—	`conf`	Levels of Details for Gaussian Mixture Models. ACCV (2) Vincent Garcia, Frank Nielsen, Richard Nock
2009	—	`conf`	Searching High-Dimensional Neighbours: CPU-Based Tailored Data-Structures Versus GPU-Based Brute-Force Method. MIRAGE Vincent Garcia, Frank Nielsen
2009	J	`jnl`	Sided and symmetrized Bregman centroids. IEEE Trans. Inf. Theory Frank Nielsen, Richard Nock
2009	—	`conf`	Simplifying Gaussian mixture models via entropic quantization. EUSIPCO Frank Nielsen, Vincent Garcia, Richard Nock
2009	J	`jnl`	Soft memberships for spectral clustering, with application to permeable language distinction. Pattern Recognit. Richard Nock, Pascal Vaillant, Claudia Henry, Frank Nielsen
2009	J	`jnl`	Statistical exponential families: A digest with flash cards CoRR Frank Nielsen, Vincent Garcia
2009	J	`jnl`	Technical opinion - Steering self-learning distance algorithms. Commun. ACM Frank Nielsen
2009	—	`conf`	The Dual Voronoi Diagrams with Respect to Representational Bregman Divergences. ISVD Frank Nielsen, Richard Nock
2008	—	`conf`	Abstracts of the LIX Fall Colloquium 2008: Emerging Trends in Visual Computing. ETVC Frank Nielsen
2008	B	`conf`	Bregman sided and symmetrized centroids. ICPR Frank Nielsen, Richard Nock
2008	—	`conf`	Clustering Multivariate Normal Distributions. ETVC Frank Nielsen, Richard Nock
2008	—	`conf`	Intrinsic Geometries in Learning. ETVC Richard Nock, Frank Nielsen
2008	—	`conf`	On the Efficient Minimization of Classification Calibrated Surrogates. NIPS Richard Nock, Frank Nielsen
2008	B	`conf`	On the efficient minimization of convex surrogates in supervised learning. ICPR Richard Nock, Frank Nielsen
2008	J	`jnl`	On the smallest enclosing information disk. Inf. Process. Lett. Frank Nielsen, Richard Nock
2008	—	`conf`	Projection plane processing for sketch-based volume segmentation. ISBI Shigeru Owada, Frank Nielsen, Takeo Igarashi, Ryo Haraguchi, Kazuo Nakazawa
2008	B	`conf`	Quantum Voronoi diagrams and Holevo channel capacity for 1-qubit quantum states. ISIT Frank Nielsen, Richard Nock
2008	—	`conf`	Real-Time Spherical Videos from a Fast Rotating Camera. ICIAR Frank Nielsen, Alexis André, Shigeru Tajima
2008	J	`jnl`	Soft Uncoupling of Markov Chains for Permeable Language Distinction: A New Algorithm CoRR Richard Nock, Pascal Vaillant, Frank Nielsen, Claudia Henry
2008	J	`jnl`	Staring at Economic Aggregators through Information Lenses CoRR Richard Nock, Nicolas Sanz, Fred Celimene, Frank Nielsen
2007	J	`jnl`	A Real generalization of discrete AdaBoost. Artif. Intell. Richard Nock, Frank Nielsen
2007	—	`conf`	A sketching interface for modeling the internal structures of 3D shapes. SIGGRAPH Courses Shigeru Owada, Frank Nielsen, Kazuo Nakazawa, Takeo Igarashi
2007	J	`jnl`	Bregman Voronoi Diagrams: Properties, Algorithms and Applications CoRR Frank Nielsen, Jean-Daniel Boissonnat, Richard Nock
2007	—	`conf`	Customized Slider Bars for Adjusting Multi-dimension Parameter Sets. Smart Graphics Shigeru Owada, Makoto Okabe, Takeo Igarashi, Frank Nielsen, Norimichi Tsumura
2007	Misc	`conf`	Fast Graph Segmentation Based on Statistical Aggregation Phenomena. MVA Frank Nielsen, Richard Nock
2007	A*	`conf`	On Bregman Voronoi diagrams. SODA Frank Nielsen, Jean-Daniel Boissonnat, Richard Nock
2007	J	`jnl`	On the Centroids of Symmetrized Bregman Divergences CoRR Frank Nielsen, Richard Nock
2007	A*	`conf`	Real Boosting a la Carte with an Application to Boosting Oblique Decision Tree. IJCAI Claudia Henry, Richard Nock, Frank Nielsen
2007	J	`jnl`	Self-improved gaps almost everywhere for the agnostic approximation of monomials. Theor. Comput. Sci. Richard Nock, Frank Nielsen
2007	J	`jnl`	The Digital Chameleon Principle: Computing Invisibility by Rendering Transparency. IEEE Computer Graphics and Applications Frank Nielsen
2007	—	`conf`	Visualizing bregman voronoi diagrams. SCG Frank Nielsen, Jean-Daniel Boissonnat, Richard Nock
2006	A	`conf`	A Real Generalization of Discrete AdaBoost. ECAI Richard Nock, Frank Nielsen
2006	—	`conf`	A sketching interface for modeling the internal structures of 3D shapes. SIGGRAPH Courses Shigeru Owada, Frank Nielsen, Kazuo Nakazawa, Takeo Igarashi
2006	A	`conf`	Autoframing: A Recommendation System for Detecting Undesirable Elements and Cropping Automatically Photos. ICME Frank Nielsen, Shigeru Owada, Yuichi Hasegawa
2006	—	`conf`	Copy-Paste Synthesis of 3D Geometry with Repetitive Patterns. Smart Graphics Shigeru Owada, Frank Nielsen, Takeo Igarashi
2006	J	`jnl`	On Weighting Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Richard Nock, Frank Nielsen
2006	—	`conf`	On approximating the smallest enclosing Bregman Balls. SCG Frank Nielsen, Richard Nock
2006	—	`conf`	On the Smallest Enclosing Information Disk. CCCG Frank Nielsen, Richard Nock
2006	A	`conf`	Soft Uncoupling of Markov Chains for Permeable Language Distinction: A New Algorithm. ECAI Richard Nock, Pascal Vaillant, Frank Nielsen, Claudia Henry
2005	Misc	`conf`	A Visual Interactive Framework for Formal Derivation. International Conference on Computational Science (1) Paul Agron, Leo Bachmair, Frank Nielsen
2005	J	`jnl`	A fast deterministic smallest enclosing disk approximation algorithm. Inf. Process. Lett. Frank Nielsen, Richard Nock
2005	A*	`conf`	ClickRemoval: interactive pinpoint image object removal. ACM Multimedia Frank Nielsen, Richard Nock
2005	—	`conf`	Fitting the Smallest Enclosing Bregman Ball. ECML Richard Nock, Frank Nielsen
2005	—	`conf`	Interactive Pinpoint Image Object Removal. CVPR (2) Frank Nielsen, Richard Nock
2005	—	`conf`	Interactive Point-and-Click Segmentation for Object Removal in Digital Images. ICCV-HCI Frank Nielsen, Richard Nock
2005	J	`jnl`	Semi-supervised statistical region refinement for color image segmentation. Pattern Recognit. Richard Nock, Frank Nielsen
2005	J	`jnl`	Surround video: a multihead camera approach. Vis. Comput. Frank Nielsen
2005	—	`conf`	Volume catcher. SI3D Shigeru Owada, Frank Nielsen, Takeo Igarashi
2004	A	`conf`	An Abstract Weighting Framework for Clustering Algorithms. SDM Richard Nock, Frank Nielsen
2004	—	`conf`	Approximating Smallest Enclosing Balls. ICCSA (3) Frank Nielsen, Richard Nock
2004	—	`conf`	Approximating smallest enclosing disks. CCCG Frank Nielsen, Richard Nock
2004	—	`conf`	Grouping with Bias Revisited. CVPR (2) Richard Nock, Frank Nielsen
2004	—	`conf`	Improving Clustering Algorithms through Constrained Convex Optimization. ICPR (4) Richard Nock, Frank Nielsen
2004	J	`jnl`	On domain-partitioning induction criteria: worst-case bounds for the worst-case based. Theor. Comput. Sci. Richard Nock, Frank Nielsen
2004	J	`jnl`	Statistical Region Merging. IEEE Trans. Pattern Anal. Mach. Intell. Richard Nock, Frank Nielsen
2004	J	`jnl`	Volumetric illustration: designing 3D models with internal textures. ACM Trans. Graph. Shigeru Owada, Frank Nielsen, Makoto Okabe, Takeo Igarashi
2003	—	`conf`	A Sketching Interface for Modeling the Internal Structures of 3D Shapes. Smart Graphics Shigeru Owada, Frank Nielsen, Kazuo Nakazawa, Takeo Igarashi
2003	J	`jnl`	Enumeration of Contour Correspondence. Int. J. Image Graph. Shigeru Owada, Yoshihisa Shinagawa, Frank Nielsen
2003	J	`jnl`	Maintenance of a Piercing Set for Intervals with Applications. Algorithmica Matthew J. Katz, Frank Nielsen, Michael Segal
2003	—	`conf`	On Region Merging: The Statistical Soundness of Fast Sorting, with Applications. CVPR (2) Frank Nielsen, Richard Nock
2003	—	`conf`	Plenoptic path and its applications. ICIP (1) Frank Nielsen
2002	—	`conf`	High Resolution Full Spherical Videos. ITCC Frank Nielsen
2002	J	`jnl`	HyperMask - projecting a talking head onto a real object. Vis. Comput. Tatsuo Yotsukura, Shigeo Morishima, Frank Nielsen, Kim Binsted, Claudio S. Pinhanez
2001	J	`jnl`	Combinatorial optimization algorithms for radio network planning. Theor. Comput. Sci. Patrice Calégari, Frédéric Guidec, Pierre Kuonen, Frank Nielsen
2001	—	`conf`	HYPER MASK - Projecting a Virtual Face onto a Moving Real Object. Eurographics (Short Presentations) Shigeo Morishima, Tatsuo Yotsukura, Frank Nielsen, Kim Binsted, Claudio S. Pinhanez
2001	J	`jnl`	On point covers of c-oriented polygons. Theor. Comput. Sci. Frank Nielsen
2000	J	`jnl`	Dynamic data structures for fat objects and their applications. Comput. Geom. Alon Efrat, Matthew J. Katz, Frank Nielsen, Micha Sharir
2000	J	`jnl`	Fast stabbing of boxes in high dimensions. Theor. Comput. Sci. Frank Nielsen
2000	B	`conf`	Maintenance of a Percing Set for Intervals with Applications. ISAAC Matthew J. Katz, Frank Nielsen, Michael Segal
2000	Misc	`conf`	On the Precision of Textures. MVA Frank Nielsen, Nicolas de Mauroy
2000	C	`conf`	Shooter Location through Piercing Sets. EuroCG Matthew J. Katz, Frank Nielsen, Michael Segal
1999	—	`conf`	Projecting computer graphics on moving surfaces: a simple calibration and tracking method. SIGGRAPH Abstracts and Applications Claudio S. Pinhanez, Frank Nielsen, Kim Binsted
1998	—	`conf`	Grouping and Querying: A Paradigm to Get Output-Sensitive Algorithms. JCDCG Frank Nielsen
1998	—	`conf`	On point covers of c-oriented polygons. CCCG Frank Nielsen
1998	J	`jnl`	Output-Sensitive Convex Hull Algorithms of Planar Convex Objects. Int. J. Comput. Geom. Appl. Frank Nielsen, Mariette Yvinec
1998	Misc	`conf`	Randomized Adaptive Algorithms for Mosaicing Systems. MVA Frank Nielsen
1997	B	`conf`	Dynamic Data Structures for Fat Objects and Their Applications. WADS Alon Efrat, Matthew J. Katz, Frank Nielsen, Micha Sharir
1996	—	`—`	Algorithmes géométriques adaptatifs. (Output-sensitive Computational Geometry). Frank Nielsen
1996	—	`conf`	Fast Stabbing of Boxes in High Dimensions. CCCG Frank Nielsen
1996	—	`conf`	On Piercing Sets of Objects. SCG Matthew J. Katz, Frank Nielsen
1996	J	`jnl`	Output-Sensitive Peeling of Convex and Maximal Layers. Inf. Process. Lett. Frank Nielsen