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Journal Articles
- 2024
[j33]Jarrod Hollis
, Raviv Raich, Jinsub Kim, Barak Fishbain, Shai Kendler:
Identifiable Solutions to Foreground Signature Extraction From Hyperspectral Images in an Intimate Mixing Scenario. IEEE Trans. Signal Process. 72: 4081-4097 (2024)- 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) - 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) - 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) - 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) - 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) - 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) - 2014
- [j19]Gaole Jin, Raviv Raich:
Hinge loss bound approach for surrogate supervision multi-view learning. Pattern Recognit. Lett. 37: 143-150 (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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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)
Conference and Workshop Papers
- 2024
- [c82]Matthew Callahan, Trung Vu, Raviv Raich:
Provable Randomized Coordinate Descent for Matrix Completion. ICASSP 2024: 9421-9425 - 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 - 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 - 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 - 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
- [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 - 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 - 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
- [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 - 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 - 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
- [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
- [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 - 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
- [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
- [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
- [c7]Raghuram Rangarajan, Raviv Raich, Alfred O. Hero III:
Optimal experimental design for an inverse scattering problem. ICASSP (4) 2005: 1117-1120 - 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
- [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 - 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
Informal and Other Publications
- 2021
- [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
- [i6]Trung Vu, Evgenia Chunikhina, Raviv Raich:
Perturbation expansions and error bounds for the truncated singular value decomposition. CoRR abs/2009.07542 (2020) - 2018
- [i5]Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim:
Weakly-supervised Dictionary Learning. CoRR abs/1802.01709 (2018) - 2016
- [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) - 2014
- [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
- [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)
Coauthor Index
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