Raviv Raich

According to our database1, Raviv Raich authored at least 107 papers between 1999 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
A Novel Attribute-Based Symmetric Multiple Instance Learning for Histopathological Image Analysis.
IEEE Trans. Medical Imaging, 2020

Perturbation expansions and error bounds for the truncated singular value decomposition.
CoRR, 2020

Cost Aware Adversarial Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Foreground Signature Extraction for an Intimate Mixing Model in Hyperspectral Image Classification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
ON Convergence of Projected Gradient Descent for Minimizing a Large-Scale Quadratic Over the Unit Sphere.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Local Convergence of the Heavy Ball Method in Iterative Hard Thresholding for Low-rank Matrix Completion.
Proceedings of the IEEE International Conference on Acoustics, 2019

Accelerating Iterative Hard Thresholding for Low-rank Matrix Completion via Adaptive Restart.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Dictionary Learning for Bioacoustics Monitoring with Applications to Species Classification.
J. Signal Process. Syst., 2018

Weakly Supervised Dictionary Learning.
IEEE Trans. Signal Process., 2018

Weakly Supervised Learning of Multiple-Scale Dictionaries.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Adaptive Step Size Momentum Method For Deconvolution.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Differential Privacy for Positive and Unlabeled Learning With Known Class Priors.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Convmd: Convolutive Matrix Decomposition For Classification Of Matrix Data.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Learning with Latent Label Hierarchy from Incomplete Multi-Label Data.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Discriminative Probabilistic Framework for Generalized Multi-Instance Learning.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Discriminative Clustering with Cardinality Constraints.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Dynamic Programming for Instance Annotation in Multi-Instance Multi-Label Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Unsupervised multiview learning with partial distribution information.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

MIML-AI: Mixed-supervision multi-instance multi-label learning with auxiliary information.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Filter shaping for Convolutional Neural Networks.
Proceedings of the 5th International Conference on Learning Representations, 2017

Discriminative recurring signal detection and localization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Online learning of time-frequency patterns.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Simultaneous segmentation and classification of bird song using CNN.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Sparse error correction with multiple measurement vectors: Observability-aware approach.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Confidence-Constrained Maximum Entropy Framework for Learning from Multi-Instance Data.
CoRR, 2016

Weakly-supervised analysis dictionary learning with cardinality constraints.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

On the eigenvalue distribution of column sub-sampled semi-unitary matrices.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Jeffreys prior regularization for logistic regression.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Sparse error correction with multiple measurement vectors.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Semi-supervised learning in the presence of novel class instances.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Multi-Instance Multi-Label Class Discovery: A Computational Approach for Assessing Bird Biodiversity.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Context-aware MIML instance annotation: exploiting label correlations with classifier chains.
Knowl. Inf. Syst., 2015

Monocular Extraction of 2.1D Sketch Using Constrained Convex Optimization.
Int. J. Comput. Vis., 2015

Dictionary extraction from a collection of spectrograms for bioacoustics monitoring.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Simultaneous instance annotation and clustering in multi-instance multi-label learning.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Multi-instance multi-label learning in the presence of novel class instances.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Supervised hierarchical segmentation for bird song recording.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Hinge loss bound approach for surrogate supervision multi-view learning.
Pattern Recognit. Lett., 2014

Dynamic Programming for Instance Annotation in Multi-instance Multi-label Learning.
CoRR, 2014

Efficient instance annotation in multi-instance learning.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Performance analysis for matrix completion via iterative hard-thresholded SVD.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Kernel-based instance annotation in multi-instance multi-label learning.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Performance analysis of surrogate supervision multi-view learning linear classifiers in Gaussian data.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Mixture modeling and inference for recognition of multiple recurring unknown patterns.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

An inference framework for detection of home appliance activation from voltage measurements.
Proceedings of the IEEE International Conference on Acoustics, 2014

Looking for the same needle in multiple haystacks: Performance bounds.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Instance Annotation for Multi-Instance Multi-Label Learning.
ACM Trans. Knowl. Discov. Data, 2013

Novelty Detection Under Multi-Instance Multi-Label Framework.
CoRR, 2013

Confidence-constrained joint sparsity recovery under the Poisson noise model.
CoRR, 2013

Novelty detection under multi-label multi-instance framework.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

The Ninth Annual MLSP Data Competition.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Context-Aware MIML Instance Annotation.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

A generative semi-supervised model for multi-view learning when some views are label-free.
Proceedings of the IEEE International Conference on Acoustics, 2013

A theoretical framework for surrogate supervision multiview learning.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
On Confidence-Constrained Rank Recovery in Topic Models.
IEEE Trans. Signal Process., 2012

Estimation of Nonlinear Functionals of Densities With Confidence.
IEEE Trans. Inf. Theory, 2012

Regularized joint density estimation for multi-instance learning.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

On surrogate supervision multiview learning.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Rank-loss support instance machines for MIML instance annotation.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Multi-channel mixed-signal noise source with applications to stochastic equalization.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

Tuning-free joint sparse recovery via optimization transfer.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Feature extraction using distribution representation for colorimetric sensor arrays used as explosives detectors.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Information-Geometric Dimensionality Reduction.
IEEE Signal Process. Mag., 2011

Inference in Supervised latent Dirichlet allocation.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Convex optimization for exact rank recovery in topic models.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

k-nearest neighbor estimation of entropies with confidence.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Time-frequency segmentation of bird song in noisy acoustic environments.
Proceedings of the IEEE International Conference on Acoustics, 2011

Entropy estimation using the principle of maximum entropy.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
On local intrinsic dimension estimation and its applications.
IEEE Trans. Signal Process., 2010

Monocular Extraction of 2.1D Sketch.
Proceedings of the International Conference on Image Processing, 2010

Optimized intrinsic dimension estimator using nearest neighbor graphs.
Proceedings of the IEEE International Conference on Acoustics, 2010

Isometric Correction for Manifold Learning.
Proceedings of the Manifold Learning and Its Applications, 2010

2009
Sparse Image Reconstruction for Molecular Imaging.
IEEE Trans. Image Process., 2009

FINE: Fisher Information Nonparametric Embedding.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Information Preserving Component Analysis: Data Projections for Flow Cytometry Analysis.
IEEE J. Sel. Top. Signal Process., 2009

A Syllable-Level Probabilistic Framework for Bird Species Identification.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Audio Classification of Bird Species: A Statistical Manifold Approach.
Proceedings of the ICDM 2009, 2009

On Achievable Throughput Region of Prioritized Transmissions Via Network Coding.
Proceedings of the 18th International Conference on Computer Communications and Networks, 2009

An information geometric approach to supervised dimensionality reduction.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Optimal Two-Stage Search for Sparse Targets Using Convex Criteria.
IEEE Trans. Signal Process., 2008

Euclidean matrix completion problems in tracking and geo-localization.
Proceedings of the IEEE International Conference on Acoustics, 2008

Blind deconvolution for sparse molecular imaging.
Proceedings of the IEEE International Conference on Acoustics, 2008

Fine: Information embedding for document classification.
Proceedings of the IEEE International Conference on Acoustics, 2008

Blind reconstruction of sparse images with unknown point spread function.
Proceedings of the Computational Imaging VI, 2008

2007
Optimal Sequential Energy Allocation for Inverse Problems.
J. Sel. Topics Signal Processing, 2007

Sequential Energy Allocation Strategies for Channel Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Sparse Image Reconstruction using Sparse Priors.
Proceedings of the International Conference on Image Processing, 2006

Sparse Image Reconstruction for Partially known Blur Functions.
Proceedings of the International Conference on Image Processing, 2006

Single-Stage Waveform Selection for Adaptive Resource Constrained State Estimation.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

On Dimensionality Reduction for Classification and its Application.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
On the baseband representation of a bandpass nonlinearity.
IEEE Trans. Signal Process., 2005

Optimization of SNDR for amplitude-limited nonlinearities.
IEEE Trans. Commun., 2005

Subspace based approaches for Wiener system identification.
IEEE Trans. Autom. Control., 2005

Optimal experimental design for an inverse scattering problem.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Orthogonal polynomials for power amplifier modeling and predistorter design.
IEEE Trans. Veh. Technol., 2004

Orthogonal polynomials for complex Gaussian processes.
IEEE Trans. Signal Process., 2004

Spectral Analysis of Polynomial Nonlinearity with Applications to RF Power Amplifiers.
EURASIP J. Adv. Signal Process., 2004

Spectral analysis for bandpass nonlinearity with cyclostationary input.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

On the benefits of deliberately introduced baseband nonlinearities in communication systems.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
Bearing estimation for a distributed source of nonconstant modulus ounds and analysis.
IEEE Trans. Signal Process., 2003

Digital baseband predistortion of nonlinear power amplifiers using orthogonal polynomials.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
A Hammerstein predistortion linearization design based on the indirect learning architecture.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Analyzing spectral regrowth of QPSK and OQPSK signals.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Bearing estimation for a distributed source: modeling, inherent accuracy limitations and algorithms.
IEEE Trans. Signal Process., 2000

1999
Localization of a distributed source which is "partially coherent"-modeling and Cramer-Rao bounds.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999


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