Raviv Raich

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 49

Top Venues

Publications

Matthew Callahan, Trung Vu, Raviv Raich
Provable Randomized Coordinate Descent for Matrix Completion. ICASSP (2024)
Trung Vu, Raviv Raich
A closed-form bound on the asymptotic linear convergence of iterative methods via fixed point analysis. Optim. Lett. 17 (3) (2023)
Trung Vu, Raviv Raich, Xiao Fu
On Local Linear Convergence of Projected Gradient Descent for Unit-Modulus Least Squares. IEEE Trans. Signal Process. 71 (2023)
Zeyu You, Raviv Raich, Yonghong Huang
Efficient Graph-based Signal Motif Discovery with Performance Bounds. Signal Process. 213 (2023)
Allen Yan, Jinsub Kim, Raviv Raich
Forensics for Adversarial Machine Learning Through Attack Mapping Identification. ICASSP (2023)
Trung Vu, Raviv Raich
ON THE ASYMPTOTIC LINEAR CONVERGENCE OF GRADIENT DESCENT FOR NON-SYMMETRIC MATRIX COMPLETION. ACSSC (2023)
Tam Nguyen, Raviv Raich
Incomplete Label Multiple Instance Multiple Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (3) (2022)
Trung Vu, Evgenia Chunikhina, Raviv Raich
On Local Linear Convergence Rate of Iterative Hard Thresholding for Matrix Completion. IEEE Trans. Signal Process. 70 (2022)
Trung Vu, Raviv Raich
On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares. IEEE Trans. Signal Process. 70 (2022)
Jarrod Hollis, Jinsub Kim, Raviv Raich
Adversarial Learning via Probabilistic Proximity Analysis. ICASSP (2021)
Trung Vu, Raviv Raich
On Local Convergence of Iterative Hard Thresholding for Matrix Completion. CoRR (2021)
Trung Vu, Raviv Raich
On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares. CoRR (2021)
Sharmin Kibria, Jinsub Kim, Raviv Raich
Joint Nonlinear Sparse Error Correction for Robust State Estimation. IEEE Trans. Signal Process. 69 (2021)
Trung Vu, Raviv Raich
A Closed-Form Bound on Asymptotic Linear Convergence of Positively Quadratic First-Order Difference Equations. CoRR (2021)
Tam Nguyen, Raviv Raich
Active Learning in Incomplete Label Multiple Instance Multiple Label Learning. CoRR (2021)
Trung Vu, Raviv Raich
Exact Linear Convergence Rate Analysis for Low-Rank Symmetric Matrix Completion via Gradient Descent. ICASSP (2021)
Jarrod Hollis, Raviv Raich, Jinsub Kim, Barak Fishbain, Shai Kendler
Foreground Signature Extraction for an Intimate Mixing Model in Hyperspectral Image Classification. ICASSP (2020)
Shashini De Silva, Jinsub Kim, Raviv Raich
Cost Aware Adversarial Learning. ICASSP (2020)
Trung Vu, Evgenia Chunikhina, Raviv Raich
Perturbation expansions and error bounds for the truncated singular value decomposition. CoRR (2020)
Trung Vu, Phung Lai, Raviv Raich, Anh T. Pham, Xiaoli Z. Fern, U. K. Arvind Rao
A Novel Attribute-Based Symmetric Multiple Instance Learning for Histopathological Image Analysis. IEEE Trans. Medical Imaging 39 (10) (2020)
Trung Vu, Raviv Raich
Accelerating Iterative Hard Thresholding for Low-rank Matrix Completion via Adaptive Restart. ICASSP (2019)
Trung Vu, Raviv Raich, Xiao Fu
ON Convergence of Projected Gradient Descent for Minimizing a Large-Scale Quadratic Over the Unit Sphere. MLSP (2019)
Trung Vu, Raviv Raich
Local Convergence of the Heavy Ball Method in Iterative Hard Thresholding for Low-rank Matrix Completion. ICASSP (2019)
Phung Lai, Raviv Raich, Molly Megraw
Convmd: Convolutive Matrix Decomposition For Classification Of Matrix Data. SSP (2018)
Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim
Weakly-supervised Dictionary Learning. CoRR (2018)
Anh T. Pham, Raviv Raich, Xiaoli Z. Fern, Weng-Keen Wong, Xinze Guan
Discriminative Probabilistic Framework for Generalized Multi-Instance Learning. ICASSP (2018)
Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim
Weakly Supervised Learning of Multiple-Scale Dictionaries. SSP (2018)
José Francisco Ruiz-Muñoz, Zeyu You, Raviv Raich, Xiaoli Z. Fern
Dictionary Learning for Bioacoustics Monitoring with Applications to Species Classification. J. Signal Process. Syst. 90 (2) (2018)
Trung Vu, Raviv Raich
Adaptive Step Size Momentum Method For Deconvolution. SSP (2018)
Anh T. Pham, Raviv Raich
Differential Privacy for Positive and Unlabeled Learning With Known Class Priors. SSP (2018)
Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim
Weakly Supervised Dictionary Learning. IEEE Trans. Signal Process. 66 (10) (2018)
Anh T. Pham, Raviv Raich, Xiaoli Z. Fern
Discriminative Clustering with Cardinality Constraints. ICASSP (2018)
Yuanli Pei, Xiaoli Z. Fern, Raviv Raich
Learning with Latent Label Hierarchy from Incomplete Multi-Label Data. ICPR (2018)
Anh T. Pham, Raviv Raich, Xiaoli Z. Fern
Dynamic Programming for Instance Annotation in Multi-Instance Multi-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 39 (12) (2017)
Xingyi Li, Fuxin Li, Xiaoli Z. Fern, Raviv Raich
Filter shaping for Convolutional Neural Networks. ICLR (Poster) (2017)
Tarn Nguyen, Raviv Raich, Xiaoli Z. Fern, Anh T. Pham
MIML-AI: Mixed-supervision multi-instance multi-label learning with auxiliary information. MLSP (2017)
José Francisco Ruiz-Muñoz, Raviv Raich, Mauricio Orozco-Alzate, Xiaoli Z. Fern
Online learning of time-frequency patterns. ICASSP (2017)
Sharmin Kibria, Jinsub Kim, Raviv Raich
Sparse error correction with multiple measurement vectors: Observability-aware approach. ICASSP (2017)
Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim
Discriminative recurring signal detection and localization. ICASSP (2017)
Shashini De Silva, Jinsub Kim, Raviv Raich
Unsupervised multiview learning with partial distribution information. MLSP (2017)
Revathy Narasimhan, Xiaoli Z. Fern, Raviv Raich
Simultaneous segmentation and classification of bird song using CNN. ICASSP (2017)
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich, Matthew Betts
Multi-Instance Multi-Label Class Discovery: A Computational Approach for Assessing Bird Biodiversity. AAAI (2016)
Tam Nguyen, Raviv Raich, Phung Lai
Jeffreys prior regularization for logistic regression. SSP (2016)
Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim
Weakly-supervised analysis dictionary learning with cardinality constraints. SSP (2016)
Raviv Raich, Jinsub Kim
On the eigenvalue distribution of column sub-sampled semi-unitary matrices. SSP (2016)
Xinze Guan, Raviv Raich, Weng-Keen Wong
Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model. ICML (2016)
Anh T. Pham, Raviv Raich, Xiaoli Z. Fern
Semi-supervised learning in the presence of novel class instances. ICASSP (2016)
Behrouz Behmardi, Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
Confidence-Constrained Maximum Entropy Framework for Learning from Multi-Instance Data. CoRR (2016)
Sharmin Kibria, Jinsub Kim, Raviv Raich
Sparse error correction with multiple measurement vectors. SSP (2016)
Teresa Vania Tjahja, Xiaoli Z. Fern, Raviv Raich, Anh T. Pham
Supervised hierarchical segmentation for bird song recording. ICASSP (2015)
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
Context-aware MIML instance annotation: exploiting label correlations with classifier chains. Knowl. Inf. Syst. 43 (1) (2015)
José Francisco Ruiz-Muñoz, Zeyu You, Raviv Raich, Xiaoli Z. Fern
Dictionary extraction from a collection of spectrograms for bioacoustics monitoring. MLSP (2015)
Anh T. Pham, Raviv Raich, Xiaoli Z. Fern
Simultaneous instance annotation and clustering in multi-instance multi-label learning. MLSP (2015)
Anh T. Pham, Raviv Raich, Xiaoli Z. Fern, Jesús Pérez Arriaga
Multi-instance multi-label learning in the presence of novel class instances. ICML (2015)
Mohamed R. Amer, Siavash Yousefi, Raviv Raich, Sinisa Todorovic
Monocular Extraction of 2.1D Sketch Using Constrained Convex Optimization. Int. J. Comput. Vis. 112 (1) (2015)
Anh T. Pham, Raviv Raich, Xiaoli Z. Fern
Dynamic Programming for Instance Annotation in Multi-instance Multi-label Learning. CoRR (2014)
Zeyu You, Raviv Raich, Yonghong Huang
Mixture modeling and inference for recognition of multiple recurring unknown patterns. IJCNN (2014)
Gaole Jin, Raviv Raich
Hinge loss bound approach for surrogate supervision multi-view learning. Pattern Recognit. Lett. 37 (2014)
Xin Li, Raviv Raich
Performance analysis of surrogate supervision multi-view learning linear classifiers in Gaussian data. MLSP (2014)
Anh T. Pham, Raviv Raich
Kernel-based instance annotation in multi-instance multi-label learning. MLSP (2014)
Zeyu You, Raviv Raich, Yonghong Huang
An inference framework for detection of home appliance activation from voltage measurements. ICASSP (2014)
Anh T. Pham, Raviv Raich, Xiaoli Z. Fern
Efficient instance annotation in multi-instance learning. SSP (2014)
Evgenia Chunikhina, Raviv Raich, Thinh P. Nguyen
Performance analysis for matrix completion via iterative hard-thresholded SVD. SSP (2014)
Raviv Raich, Zeyu You
Looking for the same needle in multiple haystacks: Performance bounds. ICASSP (2014)
Qi Lou, Raviv Raich, Forrest Briggs, Xiaoli Z. Fern
Novelty detection under multi-label multi-instance framework. MLSP (2013)
Yonghong Huang, Forrest Briggs, Raviv Raich, Konstantinos Eftaxias, Zhong Lei
The Ninth Annual MLSP Data Competition. MLSP (2013)
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich, Qi Lou
Instance Annotation for Multi-Instance Multi-Label Learning. ACM Trans. Knowl. Discov. Data 7 (3) (2013)
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
The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment. MLSP (2013)
Evgenia Chunikhina, Raviv Raich, Thinh P. Nguyen
Confidence-constrained joint sparsity recovery under the Poisson noise model. CoRR (2013)
Qi Lou, Raviv Raich, Forrest Briggs, Xiaoli Z. Fern
Novelty Detection Under Multi-Instance Multi-Label Framework. CoRR (2013)
Raviv Raich
A theoretical framework for surrogate supervision multiview learning. GlobalSIP (2013)
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
Context-Aware MIML Instance Annotation. ICDM (2013)
Gaole Jin, Raviv Raich, David J. Miller
A generative semi-supervised model for multi-view learning when some views are label-free. ICASSP (2013)
Behrouz Behmardi, Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
Regularized joint density estimation for multi-instance learning. SSP (2012)
Behrouz Behmardi, Raviv Raich
On Confidence-Constrained Rank Recovery in Topic Models. IEEE Trans. Signal Process. 60 (10) (2012)
Evgenia Chunikhina, Gregory Gutshall, Raviv Raich, Thinh P. Nguyen
Tuning-free joint sparse recovery via optimization transfer. ICASSP (2012)
Jinzhou Cao, Raviv Raich, Gabor C. Temes, Gert Cauwenberghs
Multi-channel mixed-signal noise source with applications to stochastic equalization. ISCAS (2012)
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
Rank-loss support instance machines for MIML instance annotation. KDD (2012)
Gaole Jin, Raviv Raich
On surrogate supervision multiview learning. MLSP (2012)
Kumar Sricharan, Raviv Raich, Alfred O. Hero III
Estimation of Nonlinear Functionals of Densities With Confidence. IEEE Trans. Inf. Theory 58 (7) (2012)
Tommy S. Alstrøm, Raviv Raich, Natalie V. Kostesha, Jan Larsen
Feature extraction using distribution representation for colorimetric sensor arrays used as explosives detectors. ICASSP (2012)
Lawrence Neal, Forrest Briggs, Raviv Raich, Xiaoli Z. Fern
Time-frequency segmentation of bird song in noisy acoustic environments. ICASSP (2011)
Balaji Lakshminarayanan, Raviv Raich
Inference in Supervised latent Dirichlet allocation. MLSP (2011)
Behrouz Behmardi, Raviv Raich, Alfred O. Hero III
Entropy estimation using the principle of maximum entropy. ICASSP (2011)
Kumar Sricharan, Raviv Raich, Alfred O. Hero III
k-nearest neighbor estimation of entropies with confidence. ISIT (2011)
Behrouz Behmardi, Raviv Raich
Convex optimization for exact rank recovery in topic models. MLSP (2011)
Kevin M. Carter, Raviv Raich, William G. Finn, Alfred O. Hero III
Information-Geometric Dimensionality Reduction. IEEE Signal Process. Mag. 28 (2) (2011)
Kumar Sricharan, Raviv Raich, Alfred O. Hero III
Optimized intrinsic dimension estimator using nearest neighbor graphs. ICASSP (2010)
Kevin M. Carter, Raviv Raich, Alfred O. Hero III
On local intrinsic dimension estimation and its applications. IEEE Trans. Signal Process. 58 (2) (2010)
Behrouz Behmardi, Raviv Raich
Isometric Correction for Manifold Learning. AAAI Fall Symposium: Manifold Learning and Its Applications (2010)
Mohamed R. Amer, Raviv Raich, Sinisa Todorovic
Monocular Extraction of 2.1D Sketch. ICIP (2010)
Kevin M. Carter, Raviv Raich, William G. Finn, Alfred O. Hero III
FINE: Fisher Information Nonparametric Embedding. IEEE Trans. Pattern Anal. Mach. Intell. 31 (11) (2009)
Balaji Lakshminarayanan, Raviv Raich, Xiaoli Z. Fern
A Syllable-Level Probabilistic Framework for Bird Species Identification. ICMLA (2009)
Forrest Briggs, Raviv Raich, Xiaoli Z. Fern
Audio Classification of Bird Species: A Statistical Manifold Approach. ICDM (2009)
Kevin M. Carter, Raviv Raich, William G. Finn, Alfred O. Hero III
Information Preserving Component Analysis: Data Projections for Flow Cytometry Analysis. IEEE J. Sel. Top. Signal Process. 3 (1) (2009)
Michael Ting, Raviv Raich, Alfred O. Hero III
Sparse Image Reconstruction for Molecular Imaging. IEEE Trans. Image Process. 18 (6) (2009)
Tuan Tran, Thinh P. Nguyen, Raviv Raich
On Achievable Throughput Region of Prioritized Transmissions Via Network Coding. ICCCN (2009)
Kevin M. Carter, Raviv Raich, Alfred O. Hero III
An information geometric approach to supervised dimensionality reduction. ICASSP (2009)
Kyle Herrity, Raviv Raich, Alfred O. Hero III
Blind reconstruction of sparse images with unknown point spread function. Computational Imaging (2008)
Raghuram Rangarajan, Raviv Raich, Alfred O. Hero III
Euclidean matrix completion problems in tracking and geo-localization. ICASSP (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Raviv Raich