Miguel Á. Carreira-Perpiñán

152 papers A* 34A 16B 17C 4Misc 12Journal 43Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EDRP: Enhanced Dynamic Relay Point Protocol for Data Dissemination in Multi-hop Wireless IoT Networks. CoRR Jothi Prasanna Shanmuga Sundaram, Magzhan Gabidolla, Luis Fujarte, Shawn D. Newsam, Jianlin Guo, Toshiaki Koike-Akino, Pu Wang, Kieran Parsons, Philip V. Orlik, Takenori Sumi, Yukimasa Nagai, Miguel Á. Carreira-Perpiñán, Alberto E. Cerpa
2026	J	`jnl`	Inverse classification with logistic and softmax classifiers: efficient optimization. Trans. Mach. Learn. Res. Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada
2025	J	`jnl`	COMNETS: COst-sensitive decision trees approach to throughput optimization for Multi-radio IoT NETworkS. CoRR Jothi Prasanna Shanmuga Sundaram, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán, Alberto E. Cerpa
2025	C	`conf`	COMNETS: COst-sensitive learning for throughput optimization in Multi-radio IoT NETworkS. ETFA Jothi Prasanna Shanmuga Sundaram, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán, Alberto E. Cerpa
2025	A*	`conf`	Generalized additive models via direct optimization of regularized decision stump forests. ICML Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán
2025	C	`conf`	MARS: Multi-radio Architecture with ML-powered Radio Selection for Mesoscale IoT Applications. ETFA Jothi Prasanna Shanmuga Sundaram, Arman Zharmagambetov, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán, Alberto E. Cerpa
2025	C	`conf`	Neurosymbolic models based on hybrids of convolutional neural networks and decision trees. NeSy Rasul Kairgeldin, Miguel Á. Carreira-Perpiñán
2024	J	`jnl`	A Machine Learning-Based Approach for Solving Recurrence Relations and Its use in Cost Analysis of Logic Programs. Theory Pract. Log. Program. Louis Rustenholz, Maximiliano Klemen, Miguel Á. Carreira-Perpiñán, Pedro López-García
2024	J	`jnl`	A Machine Learning-based Approach for Solving Recurrence Relations and its use in Cost Analysis of Logic Programs. CoRR Louis Rustenholz, Maximiliano Klemen, Miguel Á. Carreira-Perpiñán, Pedro López-García
2024	A	`conf`	Adaptive Softmax Trees for Many-Class Classification. UAI Rasul Kairgeldin, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán
2024	A*	`conf`	Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced Datasets. ICML Magzhan Gabidolla, Arman Zharmagambetov, Miguel Á. Carreira-Perpiñán
2024	A*	`conf`	Bivariate Decision Trees: Smaller, Interpretable, More Accurate. KDD Rasul Kairgeldin, Miguel Á. Carreira-Perpiñán
2024	J	`jnl`	MARS: Multi-radio Architecture with Radio Selection using Decision Trees for emerging mesoscale CPS/IoT applications. CoRR Jothi Prasanna Shanmuga Sundaram, Arman Zharmagambetov, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán, Alberto Cerpa
2024	—	`conf`	Sparse Oblique Decision Trees: A Tool to Understand and Manipulate Neural Net Features. HI-AI@KDD Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov
2024	J	`jnl`	Sparse oblique decision trees: a tool to understand and manipulate neural net features. Data Min. Knowl. Discov. Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov
2024	A*	`conf`	The tree autoencoder model, with application to hierarchical data visualization. NeurIPS Miguel Á. Carreira-Perpiñán, Kuat Gazizov
2023	J	`jnl`	Inverse classification with logistic and softmax classifiers: efficient optimization. CoRR Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada
2023	B	`conf`	Solving Recurrence Relations using Machine Learning, with Application to Cost Analysis. ICLP Maximiliano Klemen, Miguel Á. Carreira-Perpiñán, Pedro López-García
2023	A*	`conf`	Towards Better Decision Forests: Forest Alternating Optimization. CVPR Miguel Á. Carreira-Perpiñán, Magzhan Gabidolla, Arman Zharmagambetov
2023	A*	`conf`	Very Fast, Approximate Counterfactual Explanations for Decision Forests. AAAI Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada
2023	J	`jnl`	Very fast, approximate counterfactual explanations for decision forests. CoRR Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada
2022	Misc	`conf`	Exploring the Effect of ℓ0/ℓ2 Regularization in Neural Network Pruning using the LC Toolkit. ICASSP Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán
2022	B	`conf`	Improved Multiclass AdaBoost Using Sparse Oblique Decision Trees. IJCNN Magzhan Gabidolla, Arman Zharmagambetov, Miguel Á. Carreira-Perpiñán
2022	Misc	`conf`	Interpretable Image Classification Using Sparse Oblique Decision Trees. ICASSP Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán
2022	A	`conf`	Learning Interpretable, Tree-Based Projection Mappings for Nonlinear Embeddings. AISTATS Arman Serikuly Zharmagambetov, Miguel Á. Carreira-Perpiñán
2022	A*	`conf`	Optimal Interpretable Clustering Using Oblique Decision Trees. KDD Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán
2022	A*	`conf`	Pushing the Envelope of Gradient Boosting Forests via Globally-Optimized Oblique Trees. CVPR Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán
2022	A*	`conf`	Semi-Supervised Learning with Decision Trees: Graph Laplacian Tree Alternating Optimization. NeurIPS Arman Zharmagambetov, Miguel Á. Carreira-Perpiñán
2022	B	`conf`	Sparse Oblique Decision Trees: A Tool to Interpret Natural Language Processing Datasets. IJCNN Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán
2021	B	`conf`	A Simple, Effective Way To Improve Neural Net Classification: Ensembling Unit Activations With A Sparse Oblique Decision Tree. ICIP Arman Zharmagambetov, Miguel Á. Carreira-Perpiñán
2021	B	`conf`	An Empirical Comparison of Quantization, Pruning and Low-rank Neural Network Compression using the LC Toolkit. IJCNN Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán
2021	B	`conf`	Beyond Flops In Low-Rank Compression Of Neural Networks: Optimizing Device-Specific Inference Runtime. ICIP Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán
2021	A*	`conf`	Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms. AAAI Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada
2021	J	`jnl`	Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms. CoRR Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada
2021	—	`conf`	Exploring Counterfactual Explanations for Classification and Regression Trees. PKDD/ECML Workshops (1) Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán
2021	B	`conf`	Improved Boosted Regression Forests Through Non-Greedy Tree Optimization. IJCNN Arman Zharmagambetov, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán
2021	B	`conf`	Improved Multiclass Adaboost For Image Classification: The Role Of Tree Optimization. ICIP Arman Zharmagambetov, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán
2021	A	`conf`	LC: A Flexible, Extensible Open-Source Toolkit for Model Compression. CIKM Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán
2021	Misc	`conf`	Learning a Tree of Neural Nets. ICASSP Arman Zharmagambetov, Miguel Á. Carreira-Perpiñán
2021	J	`jnl`	Model compression as constrained optimization, with application to neural nets. Part V: combining compressions. CoRR Miguel Á. Carreira-Perpiñán, Yerlan Idelbayev
2021	—	`conf`	More General and Effective Model Compression via an Additive Combination of Compressions. ECML/PKDD (3) Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán
2021	B	`conf`	Neural Network Compression via Additive Combination of Reshaped, Low-Rank Matrices. DCC Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán
2021	B	`conf`	Non-Greedy Algorithms for Decision Tree Optimization: An Experimental Comparison. IJCNN Arman Zharmagambetov, Suryabhan Singh Hada, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán
2021	A*	`conf`	Optimal Quantization Using Scaled Codebook. CVPR Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Yin, Miguel Á. Carreira-Perpiñán, José M. Álvarez
2021	Misc	`conf`	Optimal Selection of Matrix Shape and Decomposition Scheme for Neural Network Compression. ICASSP Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán
2021	B	`conf`	Sampling The "Inverse Set" of a Neuron. ICIP Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán
2021	—	`conf`	Softmax Tree: An Accurate, Fast Classifier When the Number of Classes Is Large. EMNLP (1) Arman Zharmagambetov, Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán
2021	J	`jnl`	Sparse Oblique Decision Trees: A Tool to Understand and Manipulate Neural Net Features. CoRR Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov
2021	A	`conf`	Style Transfer by Rigid Alignment in Neural Net Feature Space. WACV Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán
2021	B	`conf`	Understanding And Manipulating Neural Net Features Using Sparse Oblique Classification Trees. ICIP Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov
2020	J	`jnl`	A flexible, extensible software framework for model compression based on the LC algorithm. CoRR Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán
2020	—	`conf`	Ensembles of Bagged TAO Trees Consistently Improve over Random Forests, AdaBoost and Gradient Boosting. FODS Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov
2020	A*	`conf`	Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer. CVPR Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán
2020	J	`jnl`	OPTICS: OPTimizing Irrigation Control at Scale. ACM Trans. Sens. Networks Daniel A. Winkler, Miguel Á. Carreira-Perpiñán, Alberto E. Cerpa
2020	A*	`conf`	Smaller, more accurate regression forests using tree alternating optimization. ICML Arman Zharmagambetov, Miguel Á. Carreira-Perpiñán
2020	A*	`conf`	Structured Multi-Hashing for Model Compression. CVPR Elad Eban, Yair Movshovitz-Attias, Hao Wu, Mark Sandler, Andrew Poon, Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán
2019	J	`jnl`	An Experimental Comparison of Old and New Decision Tree Algorithms. CoRR Arman Zharmagambetov, Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán
2019	J	`jnl`	DICTUM: Distributed Irrigation aCtuation with Turf hUmidity Modeling. ACM Trans. Sens. Networks Daniel A. Winkler, Robert Wang, François Blanchette, Miguel Á. Carreira-Perpiñán, Alberto E. Cerpa
2019	—	`conf`	Parmac: Distributed Optimisation Of Nested Functions, With Application To Learning Binary Autoencoders. SysML Miguel Á. Carreira-Perpiñán, Mehdi Alizadeh
2019	J	`jnl`	Sampling the "Inverse Set" of a Neuron: An Approach to Understanding Neural Nets. CoRR Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán
2019	J	`jnl`	Structured Multi-Hashing for Model Compression. CoRR Elad Eban, Yair Movshovitz-Attias, Hao Wu, Mark Sandler, Andrew Poon, Yerlan Idelbayev, Miguel Á. Carreira-Perpiñán
2019	J	`jnl`	Style Transfer by Rigid Alignment in Neural Net Feature Space. CoRR Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán
2018	A*	`conf`	"Learning-Compression" Algorithms for Neural Net Pruning. CVPR Miguel Á. Carreira-Perpiñán, Yerlan Idelbayev
2018	A*	`conf`	Alternating optimization of decision trees, with application to learning sparse oblique trees. NeurIPS Miguel Á. Carreira-Perpiñán, Pooya Tavallali
2018	—	`conf`	Plug-and-play irrigation control at scale. IPSN Daniel A. Winkler, Miguel Á. Carreira-Perpiñán, Alberto E. Cerpa
2017	B	`conf`	Fast, accurate spectral clustering using locally linear landmarks. IJCNN Max Vladymyrov, Miguel Á. Carreira-Perpiñán
2017	B	`conf`	Learning circulant support vector machines for fast image search. ICIP Ramin Raziperchikolaei, Miguel Á. Carreira-Perpiñán
2017	B	`conf`	Learning supervised binary hashing: Optimization vs diversity. ICIP Ramin Raziperchikolaei, Miguel Á. Carreira-Perpiñán
2017	J	`jnl`	Model compression as constrained optimization, with application to neural nets. Part I: general framework. CoRR Miguel Á. Carreira-Perpiñán
2017	J	`jnl`	Model compression as constrained optimization, with application to neural nets. Part II: quantization. CoRR Miguel Á. Carreira-Perpiñán, Yerlan Idelbayev
2016	—	`conf`	An ensemble diversity approach to supervised binary hashing. NIPS Miguel Á. Carreira-Perpiñán, Ramin Raziperchikolaei
2016	J	`jnl`	An ensemble diversity approach to supervised binary hashing. CoRR Miguel Á. Carreira-Perpiñán, Ramin Raziperchikolaei
2016	A*	`conf`	Learning Independent, Diverse Binary Hash Functions: Pruning and Locality. ICDM Ramin Raziperchikolaei, Miguel Á. Carreira-Perpiñán
2016	—	`conf`	MAGIC: Model-Based Actuation for Ground Irrigation Control. IPSN Daniel A. Winkler, Robert Wang, François Blanchette, Miguel Á. Carreira-Perpiñán, Alberto E. Cerpa
2016	—	`conf`	Optimizing affinity-based binary hashing using auxiliary coordinates. NIPS Ramin Raziperchikolaei, Miguel Á. Carreira-Perpiñán
2016	J	`jnl`	ParMAC: distributed optimisation of nested functions, with application to learning binary autoencoders. CoRR Miguel Á. Carreira-Perpiñán, Mehdi Alizadeh
2016	A*	`conf`	The Variational Nystrom method for large-scale spectral problems. ICML Max Vladymyrov, Miguel Á. Carreira-Perpiñán
2015	—	`conf`	A fast, universal algorithm to learn parametric nonlinear embeddings. NIPS Miguel Á. Carreira-Perpiñán, Max Vladymyrov
2015	J	`jnl`	A review of mean-shift algorithms for clustering. CoRR Miguel Á. Carreira-Perpiñán
2015	A*	`conf`	Hashing with binary autoencoders. CVPR Miguel Á. Carreira-Perpiñán, Ramin Raziperchikolaei
2015	J	`jnl`	Hashing with binary autoencoders. CoRR Miguel Á. Carreira-Perpiñán, Ramin Raziperchikolaei
2015	J	`jnl`	Learning hashing with affinity-based loss functions using auxiliary coordinates. CoRR Ramin Raziperchikolaei, Miguel Á. Carreira-Perpiñán
2015	Misc	`conf`	Poster: MICO: Model-Based Irrigation Control Optimization. SenSys Daniel A. Winkler, Robert Wang, François Blanchette, Miguel Á. Carreira-Perpiñán, Alberto E. Cerpa
2014	J	`jnl`	An ADMM algorithm for solving a proximal bound-constrained quadratic program. CoRR Miguel Á. Carreira-Perpiñán
2014	A	`conf`	Distributed optimization of deeply nested systems. AISTATS Miguel Á. Carreira-Perpiñán, Weiran Wang
2014	A*	`conf`	LASS: A Simple Assignment Model with Laplacian Smoothing. AAAI Miguel Á. Carreira-Perpiñán, Weiran Wang
2014	J	`jnl`	LASS: a simple assignment model with Laplacian smoothing. CoRR Miguel Á. Carreira-Perpiñán, Weiran Wang
2014	A	`conf`	Linear-time training of nonlinear low-dimensional embeddings. AISTATS Max Vladymyrov, Miguel Á. Carreira-Perpiñán
2014	J	`jnl`	Occupancy Modeling and Prediction for Building Energy Management. ACM Trans. Sens. Networks Varick L. Erickson, Miguel Á. Carreira-Perpiñán, Alberto Cerpa
2014	J	`jnl`	The Laplacian K-modes algorithm for clustering. CoRR Weiran Wang, Miguel Á. Carreira-Perpiñán
2014	A*	`conf`	The Role of Dimensionality Reduction in Classification. AAAI Weiran Wang, Miguel Á. Carreira-Perpiñán
2014	J	`jnl`	The role of dimensionality reduction in linear classification. CoRR Weiran Wang, Miguel Á. Carreira-Perpiñán
2013	—	`conf`	Entropic Affinities: Properties and Efficient Numerical Computation. ICML (3) Max Vladymyrov, Miguel Á. Carreira-Perpiñán
2013	J	`jnl`	Improving wireless link simulation using multilevel markov models. ACM Trans. Sens. Networks Ankur Kamthe, Miguel Á. Carreira-Perpiñán, Alberto Cerpa
2013	—	`conf`	Locally Linear Landmarks for Large-Scale Manifold Learning. ECML/PKDD (3) Max Vladymyrov, Miguel Á. Carreira-Perpiñán
2013	J	`jnl`	Projection onto the probability simplex: An efficient algorithm with a simple proof, and an application. CoRR Weiran Wang, Miguel Á. Carreira-Perpiñán
2013	A*	`conf`	Quick construction of data-driven models of the short-term behavior of wireless links. INFOCOM Ankur Kamthe, Miguel Á. Carreira-Perpiñán, Alberto Cerpa
2013	J	`jnl`	The K-modes algorithm for clustering CoRR Miguel Á. Carreira-Perpiñán, Weiran Wang
2012	J	`jnl`	Distributed optimization of deeply nested systems CoRR Miguel Á. Carreira-Perpiñán, Weiran Wang
2012	A*	`conf`	Fast Training of Nonlinear Embedding Algorithms. ICML Max Vladymyrov, Miguel Á. Carreira-Perpiñán
2012	Misc	`conf`	Learning and adaptation of a tongue shape modelwith missing data. ICASSP Mohsen Farhadloo, Miguel Á. Carreira-Perpiñán
2012	A	`conf`	Nonlinear low-dimensional regression using auxiliary coordinates. AISTATS Weiran Wang, Miguel Á. Carreira-Perpiñán
2012	J	`jnl`	Partial-Hessian Strategies for Fast Learning of Nonlinear Embeddings CoRR Max Vladymyrov, Miguel Á. Carreira-Perpiñán
2012	Misc	`conf`	Regularising an adaptation algorithm for tongue shape models. ICASSP Mohsen Farhadloo, Miguel Á. Carreira-Perpiñán
2011	—	`conf`	A Denoising View of Matrix Completion. NIPS Weiran Wang, Miguel Á. Carreira-Perpiñán, Zhengdong Lu
2011	A*	`conf`	Adaptation of a Mixture of Multivariate Bernoulli Distributions. IJCAI Ankur Kamthe, Miguel Á. Carreira-Perpiñán, Alberto Cerpa
2011	—	`conf`	Enabling building energy auditing using adapted occupancy models. BuildSys@SenSys Ankur Kamthe, Varick L. Erickson, Miguel Á. Carreira-Perpiñán, Alberto Cerpa
2011	J	`jnl`	Generalised elastic nets CoRR Miguel Á. Carreira-Perpiñán, Geoffrey J. Goodhill
2011	A*	`conf`	Manifold Learning and Missing Data Recovery through Unsupervised Regression. ICDM Miguel Á. Carreira-Perpiñán, Zhengdong Lu
2011	—	`conf`	OBSERVE: Occupancy-based system for efficient reduction of HVAC energy. IPSN Varick L. Erickson, Miguel Á. Carreira-Perpiñán, Alberto Cerpa
2011	J	`jnl`	Reconstruction of sequential data with density models CoRR Miguel Á. Carreira-Perpiñán
2010	A	`conf`	Adaptation of a tongue shape model by local feature transformations. INTERSPEECH Chao Qin, Miguel Á. Carreira-Perpiñán, Mohsen Farhadloo
2010	A	`conf`	Articulatory inversion of american English /turnr/ by conditional density modes. INTERSPEECH Chao Qin, Miguel Á. Carreira-Perpiñán
2010	A	`conf`	Estimating missing data sequences in x-ray microbeam recordings. INTERSPEECH Chao Qin, Miguel Á. Carreira-Perpiñán
2010	A*	`conf`	Manifold blurring mean shift algorithms for manifold denoising. CVPR Weiran Wang, Miguel Á. Carreira-Perpiñán
2010	A*	`conf`	Parametric dimensionality reduction by unsupervised regression. CVPR Miguel Á. Carreira-Perpiñán, Zhengdong Lu
2010	Misc	`conf`	Reconstructing the full tongue contour from EMA/X-ray microbeam. ICASSP Chao Qin, Miguel Á. Carreira-Perpiñán
2010	B	`conf`	Semi-supervised regression with temporal image sequences. ICIP Ling Xie, Miguel Á. Carreira-Perpiñán, Shawn D. Newsam
2010	A*	`conf`	The Elastic Embedding Algorithm for Dimensionality Reduction. ICML Miguel Á. Carreira-Perpiñán
2009	A	`conf`	Adaptation of a predictive model of tongue shapes. INTERSPEECH Chao Qin, Miguel Á. Carreira-Perpiñán
2009	Misc	`conf`	M&M: multi-level Markov model for wireless link simulations. SenSys Ankur Kamthe, Miguel Á. Carreira-Perpiñán, Alberto Cerpa
2009	—	`conf`	Optimizing Visual Feature Perception for an Automatic Wearable Speech Supplement in Face-to-Face Communication and Classroom Situations. HICSS Dominic W. Massaro, Miguel Á. Carreira-Perpiñán, David J. Merrill
2009	Misc	`conf`	Wireless link simulations using multi-level Markov models. SenSys Ankur Kamthe, Miguel Á. Carreira-Perpiñán, Alberto Cerpa
2008	A*	`conf`	Constrained spectral clustering through affinity propagation. CVPR Zhengdong Lu, Miguel Á. Carreira-Perpiñán
2008	Misc	`conf`	Density geodesics for similarity clustering. ICASSP Umut Ozertem, Deniz Erdogmus, Miguel Á. Carreira-Perpiñán
2008	A*	`conf`	Dimensionality reduction by unsupervised regression. CVPR Miguel Á. Carreira-Perpiñán, Zhengdong Lu
2008	A*	`conf`	Generalised blurring mean-shift algorithms for nonparametric clustering. CVPR Miguel Á. Carreira-Perpiñán
2008	B	`conf`	IGlasses: an automatic wearable speech supplementin face-to-face communication and classroom situations. ICMI Dominic W. Massaro, Miguel Á. Carreira-Perpiñán, David J. Merrill, Cass Sterling, Stephanie Bigler, Elise Piazza, Marcus Perlman
2008	A	`conf`	Predicting tongue shapes from a few landmark locations. INTERSPEECH Chao Qin, Miguel Á. Carreira-Perpiñán, Korin Richmond, Alan Wrench, Steve Renals
2008	A*	`conf`	Trajectory inverse kinematics by conditional density modes. ICRA Chao Qin, Miguel Á. Carreira-Perpiñán
2008	Misc	`conf`	Trajectory inverse kinematics by nonlinear, nongaussian tracking. ICASSP Chao Qin, Miguel Á. Carreira-Perpiñán
2007	A	`conf`	A comparison of acoustic features for articulatory inversion. INTERSPEECH Chao Qin, Miguel Á. Carreira-Perpiñán
2007	A	`conf`	An empirical investigation of the nonuniqueness in the acoustic-to-articulatory mapping. INTERSPEECH Chao Qin, Miguel Á. Carreira-Perpiñán
2007	A*	`conf`	Free-Form Nonrigid Image Registration Using Generalized Elastic Nets. CVPR Andriy Myronenko, Xubo B. Song, Miguel Á. Carreira-Perpiñán
2007	J	`jnl`	Gaussian Mean-Shift Is an EM Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. Miguel Á. Carreira-Perpiñán
2007	—	`conf`	People Tracking with the Laplacian Eigenmaps Latent Variable Model. NIPS Zhengdong Lu, Miguel Á. Carreira-Perpiñán, Cristian Sminchisescu
2007	A	`conf`	The Laplacian Eigenmaps Latent Variable Model. AISTATS Miguel Á. Carreira-Perpiñán, Zhengdong Lu
2006	—	`conf`	Acceleration Strategies for Gaussian Mean-Shift Image Segmentation. CVPR (1) Miguel Á. Carreira-Perpiñán
2006	A*	`conf`	Fast nonparametric clustering with Gaussian blurring mean-shift. ICML Miguel Á. Carreira-Perpiñán
2006	—	`conf`	Kernel Density Estimation, Affinity-Based Clustering, And Typical Cuts. ICASSP (5) Deniz Erdogmus, Miguel Á. Carreira-Perpiñán, Umut Ozertem
2006	—	`conf`	Non-rigid point set registration: Coherent Point Drift. NIPS Andriy Myronenko, Xubo B. Song, Miguel Á. Carreira-Perpiñán
2005	C	`conf`	Differential Priors for Elastic Nets. IDEAL Miguel Á. Carreira-Perpiñán, Peter Dayan, Geoffrey J. Goodhill
2005	A	`conf`	On Contrastive Divergence Learning. AISTATS Miguel Á. Carreira-Perpiñán, Geoffrey E. Hinton
2004	—	`conf`	Multiscale Conditional Random Fields for Image Labeling. CVPR (2) Xuming He, Richard S. Zemel, Miguel Á. Carreira-Perpiñán
2004	—	`conf`	Proximity Graphs for Clustering and Manifold Learning. NIPS Miguel Á. Carreira-Perpiñán, Richard S. Zemel
2003	—	`conf`	On the Number of Modes of a Gaussian Mixture. Scale-Space Miguel Á. Carreira-Perpiñán, Christopher K. I. Williams
2002	J	`jnl`	Are Visual Cortex Maps Optimized for Coverage? Neural Comput. Miguel Á. Carreira-Perpiñán, Geoffrey J. Goodhill
2001	—	`—`	Continuous latent variable models for dimensionality reduction and sequential data reconstruction. Miguel Á. Carreira-Perpiñán
2000	J	`jnl`	Mode-Finding for Mixtures of Gaussian Distributions. IEEE Trans. Pattern Anal. Mach. Intell. Miguel Á. Carreira-Perpiñán
2000	J	`jnl`	Practical Identifiability of Finite Mixtures of Multivariate Bernoulli Distributions. Neural Comput. Miguel Á. Carreira-Perpiñán, Steve Renals
1999	—	`conf`	Reconstruction of Sequential Data with Probabilistic Models and Continuity Constraints. NIPS Miguel Á. Carreira-Perpiñán
1998	J	`jnl`	Dimensionality reduction of electropalatographic data using latent variable models. Speech Commun. Miguel Á. Carreira-Perpiñán, Steve Renals