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Raviv Raich
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2020 – today
- 2024
- [c82]Matthew Callahan, Trung Vu, Raviv Raich:
Provable Randomized Coordinate Descent for Matrix Completion. ICASSP 2024: 9421-9425 - 2023
- [j32]Trung Vu
, Raviv Raich:
A closed-form bound on the asymptotic linear convergence of iterative methods via fixed point analysis. Optim. Lett. 17(3): 643-656 (2023) - [j31]Zeyu You
, Raviv Raich, Yonghong Huang:
Efficient Graph-based Signal Motif Discovery with Performance Bounds. Signal Process. 213: 109178 (2023) - [j30]Trung Vu
, Raviv Raich
, Xiao Fu
:
On Local Linear Convergence of Projected Gradient Descent for Unit-Modulus Least Squares. IEEE Trans. Signal Process. 71: 3883-3897 (2023) - [c81]Trung Vu, Raviv Raich:
ON THE ASYMPTOTIC LINEAR CONVERGENCE OF GRADIENT DESCENT FOR NON-SYMMETRIC MATRIX COMPLETION. ACSSC 2023: 1049-1053 - [c80]Allen Yan, Jinsub Kim, Raviv Raich:
Forensics for Adversarial Machine Learning Through Attack Mapping Identification. ICASSP 2023: 1-5 - 2022
- [j29]Tam Nguyen
, Raviv Raich
:
Incomplete Label Multiple Instance Multiple Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1320-1337 (2022) - [j28]Trung Vu
, Raviv Raich
:
On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares. IEEE Trans. Signal Process. 70: 4061-4076 (2022) - [j27]Trung Vu
, Evgenia Chunikhina, Raviv Raich
:
On Local Linear Convergence Rate of Iterative Hard Thresholding for Matrix Completion. IEEE Trans. Signal Process. 70: 5940-5953 (2022) - 2021
- [j26]Sharmin Kibria
, Jinsub Kim
, Raviv Raich
:
Joint Nonlinear Sparse Error Correction for Robust State Estimation. IEEE Trans. Signal Process. 69: 5859-5874 (2021) - [c79]Trung Vu, Raviv Raich:
Exact Linear Convergence Rate Analysis for Low-Rank Symmetric Matrix Completion via Gradient Descent. ICASSP 2021: 3240-3244 - [c78]Jarrod Hollis, Jinsub Kim, Raviv Raich:
Adversarial Learning via Probabilistic Proximity Analysis. ICASSP 2021: 3830-3834 - [i10]Tam Nguyen, Raviv Raich:
Active Learning in Incomplete Label Multiple Instance Multiple Label Learning. CoRR abs/2107.10804 (2021) - [i9]Trung Vu, Raviv Raich:
A Closed-Form Bound on Asymptotic Linear Convergence of Positively Quadratic First-Order Difference Equations. CoRR abs/2112.10598 (2021) - [i8]Trung Vu, Raviv Raich:
On Asymptotic Linear Convergence of Projected Gradient Descent for Constrained Least Squares. CoRR abs/2112.11760 (2021) - [i7]Trung Vu, Raviv Raich:
On Local Convergence of Iterative Hard Thresholding for Matrix Completion. CoRR abs/2112.14733 (2021) - 2020
- [j25]Trung Vu
, Phung Lai
, Raviv Raich
, Anh T. Pham, Xiaoli Z. Fern, Arvind U. K. Rao:
A Novel Attribute-Based Symmetric Multiple Instance Learning for Histopathological Image Analysis. IEEE Trans. Medical Imaging 39(10): 3125-3136 (2020) - [c77]Shashini De Silva, Jinsub Kim, Raviv Raich:
Cost Aware Adversarial Learning. ICASSP 2020: 3587-3591 - [c76]Jarrod Hollis, Raviv Raich, Jinsub Kim, Barak Fishbain, Shai Kendler
:
Foreground Signature Extraction for an Intimate Mixing Model in Hyperspectral Image Classification. ICASSP 2020: 4732-4736 - [i6]Trung Vu, Evgenia Chunikhina, Raviv Raich:
Perturbation expansions and error bounds for the truncated singular value decomposition. CoRR abs/2009.07542 (2020)
2010 – 2019
- 2019
- [c75]Trung Vu, Raviv Raich:
Accelerating Iterative Hard Thresholding for Low-rank Matrix Completion via Adaptive Restart. ICASSP 2019: 2917-2921 - [c74]Trung Vu, Raviv Raich:
Local Convergence of the Heavy Ball Method in Iterative Hard Thresholding for Low-rank Matrix Completion. ICASSP 2019: 3417-3421 - [c73]Trung Vu, Raviv Raich, Xiao Fu:
ON Convergence of Projected Gradient Descent for Minimizing a Large-Scale Quadratic Over the Unit Sphere. MLSP 2019: 1-6 - 2018
- [j24]Zeyu You
, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim:
Weakly Supervised Dictionary Learning. IEEE Trans. Signal Process. 66(10): 2527-2541 (2018) - [j23]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): 233-247 (2018) - [c72]Anh T. Pham, Raviv Raich, Xiaoli Z. Fern, Weng-Keen Wong, Xinze Guan:
Discriminative Probabilistic Framework for Generalized Multi-Instance Learning. ICASSP 2018: 2281-2285 - [c71]Anh T. Pham, Raviv Raich, Xiaoli Z. Fern:
Discriminative Clustering with Cardinality Constraints. ICASSP 2018: 2291-2295 - [c70]Yuanli Pei, Xiaoli Z. Fern, Raviv Raich:
Learning with Latent Label Hierarchy from Incomplete Multi-Label Data. ICPR 2018: 2075-2080 - [c69]Anh T. Pham, Raviv Raich:
Differential Privacy for Positive and Unlabeled Learning With Known Class Priors. SSP 2018: 85-89 - [c68]Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim:
Weakly Supervised Learning of Multiple-Scale Dictionaries. SSP 2018: 100-104 - [c67]Phung Lai, Raviv Raich, Molly Megraw
:
Convmd: Convolutive Matrix Decomposition For Classification Of Matrix Data. SSP 2018: 368-372 - [c66]Trung Vu, Raviv Raich:
Adaptive Step Size Momentum Method For Deconvolution. SSP 2018: 438-442 - [i5]Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim:
Weakly-supervised Dictionary Learning. CoRR abs/1802.01709 (2018) - 2017
- [j22]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): 2381-2394 (2017) - [c65]Revathy Narasimhan, Xiaoli Z. Fern, Raviv Raich:
Simultaneous segmentation and classification of bird song using CNN. ICASSP 2017: 146-150 - [c64]Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim:
Discriminative recurring signal detection and localization. ICASSP 2017: 2377-2381 - [c63]José Francisco Ruiz-Muñoz, Raviv Raich, Mauricio Orozco-Alzate
, Xiaoli Z. Fern:
Online learning of time-frequency patterns. ICASSP 2017: 2811-2815 - [c62]Sharmin Kibria, Jinsub Kim, Raviv Raich:
Sparse error correction with multiple measurement vectors: Observability-aware approach. ICASSP 2017: 4351-4355 - [c61]Xingyi Li, Fuxin Li, Xiaoli Z. Fern, Raviv Raich:
Filter shaping for Convolutional Neural Networks. ICLR (Poster) 2017 - [c60]Tarn Nguyen, Raviv Raich, Xiaoli Z. Fern, Anh T. Pham:
MIML-AI: Mixed-supervision multi-instance multi-label learning with auxiliary information. MLSP 2017: 1-6 - [c59]Shashini De Silva, Jinsub Kim, Raviv Raich:
Unsupervised multiview learning with partial distribution information. MLSP 2017: 1-6 - 2016
- [c58]Forrest Briggs, Xiaoli Z. Fern, Raviv Raich, Matthew Betts:
Multi-Instance Multi-Label Class Discovery: A Computational Approach for Assessing Bird Biodiversity. AAAI 2016: 3807-3813 - [c57]Anh T. Pham, Raviv Raich, Xiaoli Z. Fern:
Semi-supervised learning in the presence of novel class instances. ICASSP 2016: 2419-2423 - [c56]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: 2330-2339 - [c55]Sharmin Kibria, Jinsub Kim, Raviv Raich:
Sparse error correction with multiple measurement vectors. SSP 2016: 1-5 - [c54]Tam Nguyen, Raviv Raich, Phung Lai:
Jeffreys prior regularization for logistic regression. SSP 2016: 1-5 - [c53]Raviv Raich, Jinsub Kim:
On the eigenvalue distribution of column sub-sampled semi-unitary matrices. SSP 2016: 1-5 - [c52]Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim:
Weakly-supervised analysis dictionary learning with cardinality constraints. SSP 2016: 1-5 - [i4]Behrouz Behmardi, Forrest Briggs, Xiaoli Z. Fern, Raviv Raich:
Confidence-Constrained Maximum Entropy Framework for Learning from Multi-Instance Data. CoRR abs/1603.01901 (2016) - 2015
- [j21]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): 23-42 (2015) - [j20]Forrest Briggs, Xiaoli Z. Fern, Raviv Raich:
Context-aware MIML instance annotation: exploiting label correlations with classifier chains. Knowl. Inf. Syst. 43(1): 53-79 (2015) - [c51]Teresa Vania Tjahja, Xiaoli Z. Fern, Raviv Raich, Anh T. Pham:
Supervised hierarchical segmentation for bird song recording. ICASSP 2015: 763-767 - [c50]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: 2427-2435 - [c49]Anh T. Pham, Raviv Raich, Xiaoli Z. Fern:
Simultaneous instance annotation and clustering in multi-instance multi-label learning. MLSP 2015: 1-6 - [c48]José Francisco Ruiz-Muñoz, Zeyu You, Raviv Raich, Xiaoli Z. Fern:
Dictionary extraction from a collection of spectrograms for bioacoustics monitoring. MLSP 2015: 1-6 - 2014
- [j19]Gaole Jin, Raviv Raich:
Hinge loss bound approach for surrogate supervision multi-view learning. Pattern Recognit. Lett. 37: 143-150 (2014) - [c47]Raviv Raich, Zeyu You:
Looking for the same needle in multiple haystacks: Performance bounds. ICASSP 2014: 4533-4537 - [c46]Zeyu You, Raviv Raich, Yonghong Huang:
An inference framework for detection of home appliance activation from voltage measurements. ICASSP 2014: 6033-6037 - [c45]Zeyu You, Raviv Raich, Yonghong Huang:
Mixture modeling and inference for recognition of multiple recurring unknown patterns. IJCNN 2014: 2556-2563 - [c44]Xin Li, Raviv Raich:
Performance analysis of surrogate supervision multi-view learning linear classifiers in Gaussian data. MLSP 2014: 1-6 - [c43]Anh T. Pham, Raviv Raich:
Kernel-based instance annotation in multi-instance multi-label learning. MLSP 2014: 1-6 - [c42]Anh T. Pham, Raviv Raich, Xiaoli Z. Fern:
Efficient instance annotation in multi-instance learning. SSP 2014: 137-140 - [c41]Evgenia Chunikhina, Raviv Raich, Thinh P. Nguyen:
Performance analysis for matrix completion via iterative hard-thresholded SVD. SSP 2014: 392-395 - [i3]Anh T. Pham, Raviv Raich, Xiaoli Z. Fern:
Dynamic Programming for Instance Annotation in Multi-instance Multi-label Learning. CoRR abs/1411.4068 (2014) - 2013
- [j18]Forrest Briggs, Xiaoli Z. Fern, Raviv Raich, Qi Lou:
Instance Annotation for Multi-Instance Multi-Label Learning. ACM Trans. Knowl. Discov. Data 7(3): 14:1-14:30 (2013) - [c40]Raviv Raich:
A theoretical framework for surrogate supervision multiview learning. GlobalSIP 2013: 1005-1008 - [c39]Gaole Jin, Raviv Raich, David J. Miller:
A generative semi-supervised model for multi-view learning when some views are label-free. ICASSP 2013: 3302-3306 - [c38]Forrest Briggs, Xiaoli Z. Fern, Raviv Raich:
Context-Aware MIML Instance Annotation. ICDM 2013: 41-50 - [c37]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: 1-8 - [c36]Yonghong Huang, Forrest Briggs, Raviv Raich, Konstantinos Eftaxias, Zhong Lei:
The Ninth Annual MLSP Data Competition. MLSP 2013: 1-4 - [c35]Qi Lou, Raviv Raich, Forrest Briggs, Xiaoli Z. Fern:
Novelty detection under multi-label multi-instance framework. MLSP 2013: 1-6 - [i2]Evgenia Chunikhina, Raviv Raich, Thinh P. Nguyen:
Confidence-constrained joint sparsity recovery under the Poisson noise model. CoRR abs/1309.1193 (2013) - [i1]Qi Lou, Raviv Raich, Forrest Briggs, Xiaoli Z. Fern:
Novelty Detection Under Multi-Instance Multi-Label Framework. CoRR abs/1311.6211 (2013) - 2012
- [j17]Kumar Sricharan, Raviv Raich, Alfred O. Hero III:
Estimation of Nonlinear Functionals of Densities With Confidence. IEEE Trans. Inf. Theory 58(7): 4135-4159 (2012) - [j16]Behrouz Behmardi, Raviv Raich:
On Confidence-Constrained Rank Recovery in Topic Models. IEEE Trans. Signal Process. 60(10): 5146-5162 (2012) - [c34]Evgenia Chunikhina, Gregory Gutshall, Raviv Raich, Thinh P. Nguyen:
Tuning-free joint sparse recovery via optimization transfer. ICASSP 2012: 1913-1916 - [c33]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: 2125-2128 - [c32]Jinzhou Cao, Raviv Raich, Gabor C. Temes, Gert Cauwenberghs
:
Multi-channel mixed-signal noise source with applications to stochastic equalization. ISCAS 2012: 2497-2500 - [c31]Forrest Briggs, Xiaoli Z. Fern, Raviv Raich:
Rank-loss support instance machines for MIML instance annotation. KDD 2012: 534-542 - [c30]Gaole Jin, Raviv Raich:
On surrogate supervision multiview learning. MLSP 2012: 1-6 - [c29]Behrouz Behmardi, Forrest Briggs, Xiaoli Z. Fern, Raviv Raich:
Regularized joint density estimation for multi-instance learning. SSP 2012: 740-743 - 2011
- [j15]Kevin M. Carter, Raviv Raich, William G. Finn, Alfred O. Hero III:
Information-Geometric Dimensionality Reduction. IEEE Signal Process. Mag. 28(2): 89-99 (2011) - [c28]Behrouz Behmardi, Raviv Raich, Alfred O. Hero III:
Entropy estimation using the principle of maximum entropy. ICASSP 2011: 2008-2011 - [c27]Lawrence Neal, Forrest Briggs, Raviv Raich, Xiaoli Z. Fern:
Time-frequency segmentation of bird song in noisy acoustic environments. ICASSP 2011: 2012-2015 - [c26]Kumar Sricharan, Raviv Raich, Alfred O. Hero III:
k-nearest neighbor estimation of entropies with confidence. ISIT 2011: 1205-1209 - [c25]Behrouz Behmardi, Raviv Raich:
Convex optimization for exact rank recovery in topic models. MLSP 2011: 1-6 - [c24]Balaji Lakshminarayanan, Raviv Raich:
Inference in Supervised latent Dirichlet allocation. MLSP 2011: 1-6 - 2010
- [j14]Kevin M. Carter, Raviv Raich, Alfred O. Hero III:
On local intrinsic dimension estimation and its applications. IEEE Trans. Signal Process. 58(2): 650-663 (2010) - [c23]Behrouz Behmardi, Raviv Raich:
Isometric Correction for Manifold Learning. AAAI Fall Symposium: Manifold Learning and Its Applications 2010 - [c22]Kumar Sricharan, Raviv Raich, Alfred O. Hero III:
Optimized intrinsic dimension estimator using nearest neighbor graphs. ICASSP 2010: 5418-5421 - [c21]Mohamed R. Amer, Raviv Raich, Sinisa Todorovic:
Monocular Extraction of 2.1D Sketch. ICIP 2010: 3437-3440
2000 – 2009
- 2009
- [j13]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): 148-158 (2009) - [j12]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): 2093-2098 (2009) - [j11]Michael Ting, Raviv Raich, Alfred O. Hero III:
Sparse Image Reconstruction for Molecular Imaging. IEEE Trans. Image Process. 18(6): 1215-1227 (2009) - [c20]Kevin M. Carter, Raviv Raich, Alfred O. Hero III:
An information geometric approach to supervised dimensionality reduction. ICASSP 2009: 1829-1832 - [c19]Tuan Tran, Thinh P. Nguyen, Raviv Raich:
On Achievable Throughput Region of Prioritized Transmissions Via Network Coding. ICCCN 2009: 1-6 - [c18]Forrest Briggs, Raviv Raich, Xiaoli Z. Fern:
Audio Classification of Bird Species: A Statistical Manifold Approach. ICDM 2009: 51-60 - [c17]Balaji Lakshminarayanan, Raviv Raich, Xiaoli Z. Fern:
A Syllable-Level Probabilistic Framework for Bird Species Identification. ICMLA 2009: 53-59 - 2008
- [j10]Eran Bashan, Raviv Raich, Alfred O. Hero III:
Optimal Two-Stage Search for Sparse Targets Using Convex Criteria. IEEE Trans. Signal Process. 56(11): 5389-5402 (2008) - [c16]Kyle Herrity, Raviv Raich, Alfred O. Hero III:
Blind reconstruction of sparse images with unknown point spread function. Computational Imaging 2008: 68140 - [c15]Kyle Herrity, Raviv Raich, Alfred O. Hero III:
Blind deconvolution for sparse molecular imaging. ICASSP 2008: 545-548 - [c14]Kevin M. Carter, Raviv Raich, Alfred O. Hero III:
Fine: Information embedding for document classification. ICASSP 2008: 1861-1864 - [c13]Raghuram Rangarajan, Raviv Raich, Alfred O. Hero III:
Euclidean matrix completion problems in tracking and geo-localization. ICASSP 2008: 5324-5327 - 2007
- [j9]Raghuram Rangarajan, Raviv Raich, Alfred O. Hero III:
Optimal Sequential Energy Allocation for Inverse Problems. J. Sel. Topics Signal Processing 1(1): 67-78 (2007) - [c12]Raghuram Rangarajan, Raviv Raich, Alfred O. Hero III:
Sequential Energy Allocation Strategies for Channel Estimation. ICASSP (3) 2007: 821-824 - 2006
- [c11]Raghuram Rangarajan, Raviv Raich, Alfred O. Hero III:
Single-Stage Waveform Selection for Adaptive Resource Constrained State Estimation. ICASSP (3) 2006: 672-675 - [c10]Raviv Raich, Jose A. Costa, Alfred O. Hero III:
On Dimensionality Reduction for Classification and its Application. ICASSP (5) 2006: 917-920 - [c9]Raviv Raich, Alfred O. Hero III:
Sparse Image Reconstruction for Partially known Blur Functions. ICIP 2006: 637-640 - [c8]Michael Ting, Raviv Raich, Alfred O. Hero III:
Sparse Image Reconstruction using Sparse Priors. ICIP 2006: 1261-1264 - 2005
- [j8]Raviv Raich, Guo Tong Zhou, Mats Viberg
:
Subspace based approaches for Wiener system identification. IEEE Trans. Autom. Control. 50(10): 1629-1634 (2005) - [j7]Raviv Raich, Hua Qian, Guo Tong Zhou:
Optimization of SNDR for amplitude-limited nonlinearities. IEEE Trans. Commun. 53(11): 1964-1972 (2005) - [j6]Guo Tong Zhou, Hua Qian, Lei Ding, Raviv Raich:
On the baseband representation of a bandpass nonlinearity. IEEE Trans. Signal Process. 53(8-1): 2953-2957 (2005) - [c7]Raghuram Rangarajan, Raviv Raich, Alfred O. Hero III:
Optimal experimental design for an inverse scattering problem. ICASSP (4) 2005: 1117-1120 - 2004
- [j5]Guo Tong Zhou, Raviv Raich:
Spectral Analysis of Polynomial Nonlinearity with Applications to RF Power Amplifiers. EURASIP J. Adv. Signal Process. 2004(12): 1831-1840 (2004) - [j4]Raviv Raich, Guo Tong Zhou:
Orthogonal polynomials for complex Gaussian processes. IEEE Trans. Signal Process. 52(10): 2788-2797 (2004) - [j3]Raviv Raich, Hua Qian, G. Tong Zhou:
Orthogonal polynomials for power amplifier modeling and predistorter design. IEEE Trans. Veh. Technol. 53(5): 1468-1479 (2004) - [c6]Raviv Raich, G. Tong Zhou:
Spectral analysis for bandpass nonlinearity with cyclostationary input. ICASSP (2) 2004: 465-468 - [c5]Hua Qian, Raviv Raich, G. Tong Zhou:
On the benefits of deliberately introduced baseband nonlinearities in communication systems. ICASSP (2) 2004: 905-908 - 2003
- [j2]Jonathan Friedmann, Raviv Raich, Jason Goldberg, Hagit Messer:
Bearing estimation for a distributed source of nonconstant modulus ounds and analysis. IEEE Trans. Signal Process. 51(12): 3027-3035 (2003) - [c4]Raviv Raich, Hua Qian, G. Tong Zhou:
Digital baseband predistortion of nonlinear power amplifiers using orthogonal polynomials. ICASSP (6) 2003: 689-692 - 2002
- [c3]Lei Ding
, Raviv Raich, Guo Tong Zhou:
A Hammerstein predistortion linearization design based on the indirect learning architecture. ICASSP 2002: 2689-2692 - 2001
- [c2]Raviv Raich, G. Tong Zhou:
Analyzing spectral regrowth of QPSK and OQPSK signals. ICASSP 2001: 2673-2676 - 2000
- [j1]Raviv Raich, Jason Goldberg, Hagit Messer:
Bearing estimation for a distributed source: modeling, inherent accuracy limitations and algorithms. IEEE Trans. Signal Process. 48(2): 429-441 (2000)
1990 – 1999
- 1999
- [c1]Raviv Raich, Jason Goldberg, Hagit Messer:
Localization of a distributed source which is "partially coherent"-modeling and Cramer-Rao bounds. ICASSP 1999: 2941-2944
Coauthor Index
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