Raviv Raich - RankMe

128 papers A* 6B 7C 3Misc 34Journal 43Unranked 35

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	Maximum Likelihood Estimation of Stable ARX Models using Randomized Coordinate Descent. ICASSP Ozmen Erkin Kokten, Raviv Raich
2025	Misc	`conf`	On Momentum Acceleration for Randomized Coordinate Descent in Matrix Completion. ICASSP Matthew Callahan, Trung Vu, Raviv Raich
2024	J	`jnl`	Identifiable Solutions to Foreground Signature Extraction From Hyperspectral Images in an Intimate Mixing Scenario. IEEE Trans. Signal Process. Jarrod Hollis, Raviv Raich, Jinsub Kim, Barak Fishbain, Shai Kendler
2024	C	`conf`	Learning Extended Forecasts of Soil Water Content via Physically-Inspired Autoregressive Models. ICMLA Ozmen Erkin Kokten, Raviv Raich, James Holmes, Alan Fern
2024	Misc	`conf`	Provable Randomized Coordinate Descent for Matrix Completion. ICASSP Matthew Callahan, Trung Vu, Raviv Raich
2023	J	`jnl`	A closed-form bound on the asymptotic linear convergence of iterative methods via fixed point analysis. Optim. Lett. Trung Vu, Raviv Raich
2023	J	`jnl`	Efficient Graph-based Signal Motif Discovery with Performance Bounds. Signal Process. Zeyu You, Raviv Raich, Yonghong Huang
2023	Misc	`conf`	Forensics for Adversarial Machine Learning Through Attack Mapping Identification. ICASSP Allen Yan, Jinsub Kim, Raviv Raich
2023	Misc	`conf`	ON THE ASYMPTOTIC LINEAR CONVERGENCE OF GRADIENT DESCENT FOR NON-SYMMETRIC MATRIX COMPLETION. ACSSC Trung Vu, Raviv Raich
2023	J	`jnl`	On Local Linear Convergence of Projected Gradient Descent for Unit-Modulus Least Squares. IEEE Trans. Signal Process. Trung Vu, Raviv Raich, Xiao Fu
2022	J	`jnl`	Incomplete Label Multiple Instance Multiple Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. Tam Nguyen, Raviv Raich
2022	J	`jnl`	On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares. IEEE Trans. Signal Process. Trung Vu, Raviv Raich
2022	J	`jnl`	On Local Linear Convergence Rate of Iterative Hard Thresholding for Matrix Completion. IEEE Trans. Signal Process. Trung Vu, Evgenia Chunikhina, Raviv Raich
2021	J	`jnl`	A Closed-Form Bound on Asymptotic Linear Convergence of Positively Quadratic First-Order Difference Equations. CoRR Trung Vu, Raviv Raich
2021	J	`jnl`	Active Learning in Incomplete Label Multiple Instance Multiple Label Learning. CoRR Tam Nguyen, Raviv Raich
2021	Misc	`conf`	Adversarial Learning via Probabilistic Proximity Analysis. ICASSP Jarrod Hollis, Jinsub Kim, Raviv Raich
2021	Misc	`conf`	Exact Linear Convergence Rate Analysis for Low-Rank Symmetric Matrix Completion via Gradient Descent. ICASSP Trung Vu, Raviv Raich
2021	J	`jnl`	Joint Nonlinear Sparse Error Correction for Robust State Estimation. IEEE Trans. Signal Process. Sharmin Kibria, Jinsub Kim, Raviv Raich
2021	J	`jnl`	On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares. CoRR Trung Vu, Raviv Raich
2021	J	`jnl`	On Local Convergence of Iterative Hard Thresholding for Matrix Completion. CoRR Trung Vu, Raviv Raich
2020	J	`jnl`	A Novel Attribute-Based Symmetric Multiple Instance Learning for Histopathological Image Analysis. IEEE Trans. Medical Imaging Trung Vu, Phung Lai, Raviv Raich, Anh T. Pham, Xiaoli Z. Fern, Arvind U. K. Rao
2020	Misc	`conf`	Cost Aware Adversarial Learning. ICASSP Shashini De Silva, Jinsub Kim, Raviv Raich
2020	Misc	`conf`	Foreground Signature Extraction for an Intimate Mixing Model in Hyperspectral Image Classification. ICASSP Jarrod Hollis, Raviv Raich, Jinsub Kim, Barak Fishbain, Shai Kendler
2020	J	`jnl`	Perturbation expansions and error bounds for the truncated singular value decomposition. CoRR Trung Vu, Evgenia Chunikhina, Raviv Raich
2019	Misc	`conf`	Accelerating Iterative Hard Thresholding for Low-rank Matrix Completion via Adaptive Restart. ICASSP Trung Vu, Raviv Raich
2019	Misc	`conf`	Local Convergence of the Heavy Ball Method in Iterative Hard Thresholding for Low-rank Matrix Completion. ICASSP Trung Vu, Raviv Raich
2019	—	`conf`	ON Convergence of Projected Gradient Descent for Minimizing a Large-Scale Quadratic Over the Unit Sphere. MLSP Trung Vu, Raviv Raich, Xiao Fu
2018	—	`conf`	Adaptive Step Size Momentum Method For Deconvolution. SSP Trung Vu, Raviv Raich
2018	—	`conf`	Convmd: Convolutive Matrix Decomposition For Classification Of Matrix Data. SSP Phung Lai, Raviv Raich, Molly Megraw
2018	J	`jnl`	Dictionary Learning for Bioacoustics Monitoring with Applications to Species Classification. J. Signal Process. Syst. José Francisco Ruiz-Muñoz, Zeyu You, Raviv Raich, Xiaoli Z. Fern
2018	—	`conf`	Differential Privacy for Positive and Unlabeled Learning With Known Class Priors. SSP Anh T. Pham, Raviv Raich
2018	Misc	`conf`	Discriminative Clustering with Cardinality Constraints. ICASSP Anh T. Pham, Raviv Raich, Xiaoli Z. Fern
2018	Misc	`conf`	Discriminative Probabilistic Framework for Generalized Multi-Instance Learning. ICASSP Anh T. Pham, Raviv Raich, Xiaoli Z. Fern, Weng-Keen Wong, Xinze Guan
2018	B	`conf`	Learning with Latent Label Hierarchy from Incomplete Multi-Label Data. ICPR Yuanli Pei, Xiaoli Z. Fern, Raviv Raich
2018	J	`jnl`	Weakly Supervised Dictionary Learning. IEEE Trans. Signal Process. Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim
2018	—	`conf`	Weakly Supervised Learning of Multiple-Scale Dictionaries. SSP Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim
2018	J	`jnl`	Weakly-supervised Dictionary Learning. CoRR Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim
2017	Misc	`conf`	Discriminative recurring signal detection and localization. ICASSP Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim
2017	J	`jnl`	Dynamic Programming for Instance Annotation in Multi-Instance Multi-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. Anh T. Pham, Raviv Raich, Xiaoli Z. Fern
2017	—	`conf`	Filter shaping for Convolutional Neural Networks. ICLR (Poster) Xingyi Li, Fuxin Li, Xiaoli Z. Fern, Raviv Raich
2017	—	`conf`	MIML-AI: Mixed-supervision multi-instance multi-label learning with auxiliary information. MLSP Tarn Nguyen, Raviv Raich, Xiaoli Z. Fern, Anh T. Pham
2017	Misc	`conf`	Online learning of time-frequency patterns. ICASSP José Francisco Ruiz-Muñoz, Raviv Raich, Mauricio Orozco-Alzate, Xiaoli Z. Fern
2017	Misc	`conf`	Simultaneous segmentation and classification of bird song using CNN. ICASSP Revathy Narasimhan, Xiaoli Z. Fern, Raviv Raich
2017	Misc	`conf`	Sparse error correction with multiple measurement vectors: Observability-aware approach. ICASSP Sharmin Kibria, Jinsub Kim, Raviv Raich
2017	—	`conf`	Unsupervised multiview learning with partial distribution information. MLSP Shashini De Silva, Jinsub Kim, Raviv Raich
2016	J	`jnl`	Confidence-Constrained Maximum Entropy Framework for Learning from Multi-Instance Data. CoRR Behrouz Behmardi, Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
2016	A*	`conf`	Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model. ICML Xinze Guan, Raviv Raich, Weng-Keen Wong
2016	—	`conf`	Jeffreys prior regularization for logistic regression. SSP Tam Nguyen, Raviv Raich, Phung Lai
2016	A*	`conf`	Multi-Instance Multi-Label Class Discovery: A Computational Approach for Assessing Bird Biodiversity. AAAI Forrest Briggs, Xiaoli Z. Fern, Raviv Raich, Matthew Betts
2016	—	`conf`	On the eigenvalue distribution of column sub-sampled semi-unitary matrices. SSP Raviv Raich, Jinsub Kim
2016	Misc	`conf`	Semi-supervised learning in the presence of novel class instances. ICASSP Anh T. Pham, Raviv Raich, Xiaoli Z. Fern
2016	—	`conf`	Sparse error correction with multiple measurement vectors. SSP Sharmin Kibria, Jinsub Kim, Raviv Raich
2016	—	`conf`	Weakly-supervised analysis dictionary learning with cardinality constraints. SSP Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim
2015	J	`jnl`	Context-aware MIML instance annotation: exploiting label correlations with classifier chains. Knowl. Inf. Syst. Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
2015	—	`conf`	Dictionary extraction from a collection of spectrograms for bioacoustics monitoring. MLSP José Francisco Ruiz-Muñoz, Zeyu You, Raviv Raich, Xiaoli Z. Fern
2015	J	`jnl`	Monocular Extraction of 2.1D Sketch Using Constrained Convex Optimization. Int. J. Comput. Vis. Mohamed R. Amer, Siavash Yousefi, Raviv Raich, Sinisa Todorovic
2015	A*	`conf`	Multi-instance multi-label learning in the presence of novel class instances. ICML Anh T. Pham, Raviv Raich, Xiaoli Z. Fern, Jesús Pérez Arriaga
2015	—	`conf`	Simultaneous instance annotation and clustering in multi-instance multi-label learning. MLSP Anh T. Pham, Raviv Raich, Xiaoli Z. Fern
2015	Misc	`conf`	Supervised hierarchical segmentation for bird song recording. ICASSP Teresa Vania Tjahja, Xiaoli Z. Fern, Raviv Raich, Anh T. Pham
2014	Misc	`conf`	An inference framework for detection of home appliance activation from voltage measurements. ICASSP Zeyu You, Raviv Raich, Yonghong Huang
2014	J	`jnl`	Dynamic Programming for Instance Annotation in Multi-instance Multi-label Learning. CoRR Anh T. Pham, Raviv Raich, Xiaoli Z. Fern
2014	—	`conf`	Efficient instance annotation in multi-instance learning. SSP Anh T. Pham, Raviv Raich, Xiaoli Z. Fern
2014	J	`jnl`	Hinge loss bound approach for surrogate supervision multi-view learning. Pattern Recognit. Lett. Gaole Jin, Raviv Raich
2014	—	`conf`	Kernel-based instance annotation in multi-instance multi-label learning. MLSP Anh T. Pham, Raviv Raich
2014	Misc	`conf`	Looking for the same needle in multiple haystacks: Performance bounds. ICASSP Raviv Raich, Zeyu You
2014	B	`conf`	Mixture modeling and inference for recognition of multiple recurring unknown patterns. IJCNN Zeyu You, Raviv Raich, Yonghong Huang
2014	—	`conf`	Performance analysis for matrix completion via iterative hard-thresholded SVD. SSP Evgenia Chunikhina, Raviv Raich, Thinh P. Nguyen
2014	—	`conf`	Performance analysis of surrogate supervision multi-view learning linear classifiers in Gaussian data. MLSP Xin Li, Raviv Raich
2013	Misc	`conf`	A generative semi-supervised model for multi-view learning when some views are label-free. ICASSP Gaole Jin, Raviv Raich, David J. Miller
2013	—	`conf`	A theoretical framework for surrogate supervision multiview learning. GlobalSIP Raviv Raich
2013	J	`jnl`	Confidence-constrained joint sparsity recovery under the Poisson noise model. CoRR Evgenia Chunikhina, Raviv Raich, Thinh P. Nguyen
2013	A*	`conf`	Context-Aware MIML Instance Annotation. ICDM Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
2013	J	`jnl`	Instance Annotation for Multi-Instance Multi-Label Learning. ACM Trans. Knowl. Discov. Data Forrest Briggs, Xiaoli Z. Fern, Raviv Raich, Qi Lou
2013	J	`jnl`	Novelty Detection Under Multi-Instance Multi-Label Framework. CoRR Qi Lou, Raviv Raich, Forrest Briggs, Xiaoli Z. Fern
2013	—	`conf`	Novelty detection under multi-label multi-instance framework. MLSP Qi Lou, Raviv Raich, Forrest Briggs, Xiaoli Z. Fern
2013	—	`conf`	The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment. MLSP Forrest Briggs, Yonghong Huang, Raviv Raich, Konstantinos Eftaxias, Zhong Lei, William Cukierski, Sarah Frey Hadley, Adam Hadley, Matthew Betts, Xiaoli Z. Fern, Jed Irvine, Lawrence Neal, Anil Thomas, Gábor Fodor, Grigorios Tsoumakas, Hong Wei Ng, Thi Ngoc Tho Nguyen, Heikki Huttunen, Pekka Ruusuvuori, Tapio Manninen, Aleksandr Diment, Tuomas Virtanen, Julien Marzat, Joseph Defretin, Dave Callender, Chris Hurlburt, Ken Larrey, Maxim Milakov
2013	—	`conf`	The Ninth Annual MLSP Data Competition. MLSP Yonghong Huang, Forrest Briggs, Raviv Raich, Konstantinos Eftaxias, Zhong Lei
2012	J	`jnl`	Estimation of Nonlinear Functionals of Densities With Confidence. IEEE Trans. Inf. Theory Kumar Sricharan, Raviv Raich, Alfred O. Hero III
2012	Misc	`conf`	Feature extraction using distribution representation for colorimetric sensor arrays used as explosives detectors. ICASSP Tommy S. Alstrøm, Raviv Raich, Natalie V. Kostesha, Jan Larsen
2012	C	`conf`	Multi-channel mixed-signal noise source with applications to stochastic equalization. ISCAS Jinzhou Cao, Raviv Raich, Gabor C. Temes, Gert Cauwenberghs
2012	J	`jnl`	On Confidence-Constrained Rank Recovery in Topic Models. IEEE Trans. Signal Process. Behrouz Behmardi, Raviv Raich
2012	—	`conf`	On surrogate supervision multiview learning. MLSP Gaole Jin, Raviv Raich
2012	A*	`conf`	Rank-loss support instance machines for MIML instance annotation. KDD Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
2012	—	`conf`	Regularized joint density estimation for multi-instance learning. SSP Behrouz Behmardi, Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
2012	Misc	`conf`	Tuning-free joint sparse recovery via optimization transfer. ICASSP Evgenia Chunikhina, Gregory Gutshall, Raviv Raich, Thinh P. Nguyen
2011	—	`conf`	Convex optimization for exact rank recovery in topic models. MLSP Behrouz Behmardi, Raviv Raich
2011	Misc	`conf`	Entropy estimation using the principle of maximum entropy. ICASSP Behrouz Behmardi, Raviv Raich, Alfred O. Hero III
2011	—	`conf`	Inference in Supervised latent Dirichlet allocation. MLSP Balaji Lakshminarayanan, Raviv Raich
2011	J	`jnl`	Information-Geometric Dimensionality Reduction. IEEE Signal Process. Mag. Kevin M. Carter, Raviv Raich, William G. Finn, Alfred O. Hero III
2011	Misc	`conf`	Time-frequency segmentation of bird song in noisy acoustic environments. ICASSP Lawrence Neal, Forrest Briggs, Raviv Raich, Xiaoli Z. Fern
2011	B	`conf`	k-nearest neighbor estimation of entropies with confidence. ISIT Kumar Sricharan, Raviv Raich, Alfred O. Hero III
2010	—	`conf`	Isometric Correction for Manifold Learning. AAAI Fall Symposium: Manifold Learning and Its Applications Behrouz Behmardi, Raviv Raich
2010	B	`conf`	Monocular Extraction of 2.1D Sketch. ICIP Mohamed R. Amer, Raviv Raich, Sinisa Todorovic
2010	J	`jnl`	On local intrinsic dimension estimation and its applications. IEEE Trans. Signal Process. Kevin M. Carter, Raviv Raich, Alfred O. Hero III
2010	Misc	`conf`	Optimized intrinsic dimension estimator using nearest neighbor graphs. ICASSP Kumar Sricharan, Raviv Raich, Alfred O. Hero III
2009	C	`conf`	A Syllable-Level Probabilistic Framework for Bird Species Identification. ICMLA Balaji Lakshminarayanan, Raviv Raich, Xiaoli Z. Fern
2009	Misc	`conf`	An information geometric approach to supervised dimensionality reduction. ICASSP Kevin M. Carter, Raviv Raich, Alfred O. Hero III
2009	A*	`conf`	Audio Classification of Bird Species: A Statistical Manifold Approach. ICDM Forrest Briggs, Raviv Raich, Xiaoli Z. Fern
2009	J	`jnl`	FINE: Fisher Information Nonparametric Embedding. IEEE Trans. Pattern Anal. Mach. Intell. Kevin M. Carter, Raviv Raich, William G. Finn, Alfred O. Hero III
2009	J	`jnl`	Information Preserving Component Analysis: Data Projections for Flow Cytometry Analysis. IEEE J. Sel. Top. Signal Process. Kevin M. Carter, Raviv Raich, William G. Finn, Alfred O. Hero III
2009	B	`conf`	On Achievable Throughput Region of Prioritized Transmissions Via Network Coding. ICCCN Tuan Tran, Thinh P. Nguyen, Raviv Raich
2009	J	`jnl`	Sparse Image Reconstruction for Molecular Imaging. IEEE Trans. Image Process. Michael Ting, Raviv Raich, Alfred O. Hero III
2008	Misc	`conf`	Blind deconvolution for sparse molecular imaging. ICASSP Kyle Herrity, Raviv Raich, Alfred O. Hero III
2008	—	`conf`	Blind reconstruction of sparse images with unknown point spread function. Computational Imaging Kyle Herrity, Raviv Raich, Alfred O. Hero III
2008	Misc	`conf`	Euclidean matrix completion problems in tracking and geo-localization. ICASSP Raghuram Rangarajan, Raviv Raich, Alfred O. Hero III
2008	Misc	`conf`	Fine: Information embedding for document classification. ICASSP Kevin M. Carter, Raviv Raich, Alfred O. Hero III
2008	J	`jnl`	Optimal Two-Stage Search for Sparse Targets Using Convex Criteria. IEEE Trans. Signal Process. Eran Bashan, Raviv Raich, Alfred O. Hero III
2007	J	`jnl`	Optimal Sequential Energy Allocation for Inverse Problems. J. Sel. Topics Signal Processing Raghuram Rangarajan, Raviv Raich, Alfred O. Hero III
2007	—	`conf`	Sequential Energy Allocation Strategies for Channel Estimation. ICASSP (3) Raghuram Rangarajan, Raviv Raich, Alfred O. Hero III
2006	—	`conf`	On Dimensionality Reduction for Classification and its Application. ICASSP (5) Raviv Raich, Jose A. Costa, Alfred O. Hero III
2006	—	`conf`	Single-Stage Waveform Selection for Adaptive Resource Constrained State Estimation. ICASSP (3) Raghuram Rangarajan, Raviv Raich, Alfred O. Hero III
2006	B	`conf`	Sparse Image Reconstruction for Partially known Blur Functions. ICIP Raviv Raich, Alfred O. Hero III
2006	B	`conf`	Sparse Image Reconstruction using Sparse Priors. ICIP Michael Ting, Raviv Raich, Alfred O. Hero III
2005	J	`jnl`	On the baseband representation of a bandpass nonlinearity. IEEE Trans. Signal Process. Guo Tong Zhou, Hua Qian, Lei Ding, Raviv Raich
2005	—	`conf`	Optimal experimental design for an inverse scattering problem. ICASSP (4) Raghuram Rangarajan, Raviv Raich, Alfred O. Hero III
2005	J	`jnl`	Optimization of SNDR for amplitude-limited nonlinearities. IEEE Trans. Commun. Raviv Raich, Hua Qian, Guo Tong Zhou
2005	J	`jnl`	Subspace based approaches for Wiener system identification. IEEE Trans. Autom. Control. Raviv Raich, Guo Tong Zhou, Mats Viberg
2004	—	`conf`	On the benefits of deliberately introduced baseband nonlinearities in communication systems. ICASSP (2) Hua Qian, Raviv Raich, G. Tong Zhou
2004	J	`jnl`	Orthogonal polynomials for complex Gaussian processes. IEEE Trans. Signal Process. Raviv Raich, Guo Tong Zhou
2004	J	`jnl`	Orthogonal polynomials for power amplifier modeling and predistorter design. IEEE Trans. Veh. Technol. Raviv Raich, Hua Qian, G. Tong Zhou
2004	J	`jnl`	Spectral Analysis of Polynomial Nonlinearity with Applications to RF Power Amplifiers. EURASIP J. Adv. Signal Process. Guo Tong Zhou, Raviv Raich
2004	—	`conf`	Spectral analysis for bandpass nonlinearity with cyclostationary input. ICASSP (2) Raviv Raich, G. Tong Zhou
2003	J	`jnl`	Bearing estimation for a distributed source of nonconstant modulus ounds and analysis. IEEE Trans. Signal Process. Jonathan Friedmann, Raviv Raich, Jason Goldberg, Hagit Messer
2003	—	`conf`	Digital baseband predistortion of nonlinear power amplifiers using orthogonal polynomials. ICASSP (6) Raviv Raich, Hua Qian, G. Tong Zhou
2002	Misc	`conf`	A Hammerstein predistortion linearization design based on the indirect learning architecture. ICASSP Lei Ding, Raviv Raich, Guo Tong Zhou
2001	Misc	`conf`	Analyzing spectral regrowth of QPSK and OQPSK signals. ICASSP Raviv Raich, G. Tong Zhou
2000	J	`jnl`	Bearing estimation for a distributed source: modeling, inherent accuracy limitations and algorithms. IEEE Trans. Signal Process. Raviv Raich, Jason Goldberg, Hagit Messer
1999	Misc	`conf`	Localization of a distributed source which is "partially coherent"-modeling and Cramer-Rao bounds. ICASSP Raviv Raich, Jason Goldberg, Hagit Messer