Arie Yeredor

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All published works
Action Title Year Authors
+ PDF Chat Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass Function Tensors 2024 Joseph K. Chege
Arie Yeredor
Martin Haardt
+ Probability Mass Function Estimation Approaches with Application to Flow Cytometry Data Analysis 2023 Philippe Flores
Joseph K. Chege
Konstantin Usevich
Martin Haardt
Arie Yeredor
David Brie
+ Bayesian Estimation of a Probability Mass Function Tensor with Automatic Rank Detection 2023 Joseph K. Chege
Mikus J. Grasis
Arie Yeredor
Martin Haardt
+ Various Performance Bounds on the Estimation of Low-Rank Probability Mass Function Tensors from Partial Observations 2023 Tomer Hershkovitz
Martin Haardt
Arie Yeredor
+ Efficient Probability Mass Function Estimation from Partially Observed Data 2022 Joseph K. Chege
Mikus J. Grasis
Alla Manina
Arie Yeredor
Martin Haardt
+ PDF Chat Monotonicity of the Trace–Inverse of Covariance Submatrices and Two-Sided Prediction 2022 Anatoly Khina
Arie Yeredor
Ram Zamir
+ Time-Domain Based Embeddings for Spoofed Audio Representation 2022 Matan Karo
Arie Yeredor
Itshak Lapidot
+ PDF Chat Monotonicity of the Trace–Inverse of Covariance Submatrices and Two-Sided Prediction 2021 Anatoly Khina
Arie Yeredor
Ram Zamir
+ PDF Chat Non-Iterative Blind Calibration of Nested Arrays with Asymptotically Optimal Weighting 2021 Amir Weiss
Arie Yeredor
+ PDF Chat Enhanced Blind Calibration of Uniform Linear Arrays with One-Bit Quantization by Kullback-Leibler Divergence Covariance Fitting 2021 Amir Weiss
Arie Yeredor
+ Non-Iterative Blind Calibration of Nested Arrays with Asymptotically Optimal Weighting 2020 Amir Weiss
Arie Yeredor
+ Enhanced Blind Calibration of Uniform Linear Arrays with One-Bit Quantization by Kullback-Leibler Divergence Covariance Fitting 2020 Amir Weiss
Arie Yeredor
+ PDF Chat Asymptotically Optimal Blind Calibration of Uniform Linear Sensor Arrays for Narrowband Gaussian Signals 2020 Amir Weiss
Arie Yeredor
+ Monotonicity of the Trace-Inverse of Covariance Submatrices and Two-Sided Prediction 2020 Anatoly Khina
Arie Yeredor
Ram Zamir
+ Non-Iterative Blind Calibration of Nested Arrays with Asymptotically Optimal Weighting 2020 Amir Weiss
Arie Yeredor
+ Enhanced Blind Calibration of Uniform Linear Arrays with One-Bit Quantization by Kullback-Leibler Divergence Covariance Fitting 2020 Amir Weiss
Arie Yeredor
+ Estimation of a Low-Rank Probability-Tensor from Sample Sub-Tensors via Joint Factorization Minimizing the Kullback-Leibler Divergence 2019 Arie Yeredor
Martin Haardt
+ Maximum Likelihood Estimation of a Low-Rank Probability Mass Tensor From Partial Observations 2019 Arie Yeredor
Martin Haardt
+ PDF Chat Multi-view diffusion maps 2019 Ofir Lindenbaum
Arie Yeredor
Moshe Salhov
Amir Averbuch
+ PDF Chat A Maximum Likelihood-Based Minimum Mean Square Error Separation and Estimation of Stationary Gaussian Sources From Noisy Mixtures 2019 Amir Weiss
Arie Yeredor
+ PDF Chat Blind Determination of the Number of Sources Using Distance Correlation 2019 Amir Weiss
Arie Yeredor
+ PDF Chat Performance Analysis of the Gaussian Quasi-Maximum Likelihood Approach for Independent Vector Analysis 2018 Amir Weiss
Sher Ali Cheema
Martin Haardt
Arie Yeredor
+ High-Order Analysis of the Efficiency Gap for Maximum Likelihood Estimation in Nonlinear Gaussian Models 2018 Arie Yeredor
Amir Weiss
A.J. Weiss
+ First-Order Perturbation Analysis of Secsi With Generalized Unfoldings 2018 Yao Cheng
Sher Ali Cheema
Martin Haardt
Amir Weiss
Arie Yeredor
+ Performance analysis of least-squares khatri-rao factorization 2017 Yao Cheng
Sher Ali Cheema
Martin Haardt
Amir Weiss
Arie Yeredor
+ Analytical performance analysis of the Semi-Algebraic framework for approximate CP decompositions via SImultaneous matrix diagonalizations (SECSI) 2017 Sher Ali Cheema
Emilio Rafael Balda
Amir Weiss
Arie Yeredor
Martin Haardt
+ PDF Chat The Extended “Sequentially Drilled” Joint Congruence Transformation and Its Application in Gaussian Independent Vector Analysis 2017 Amir Weiss
Arie Yeredor
Sher Ali Cheema
Martin Haardt
+ Kernel Scaling for Manifold Learning and Classification 2017 Ofir Lindenbaum
Moshe Salhov
Arie Yeredor
Amir Averbuch
+ First-Order Perturbation Analysis of the SECSI Framework for the Approximate CP Decomposition of 3-D Noise-Corrupted Low-Rank Tensors 2017 Sher Ali Cheema
Emilio Rafael Balda
Yao Cheng
Martin Haardt
Amir Weiss
Arie Yeredor
+ First-order perturbation analysis of low-rank tensor approximations based on the truncated HOSVD 2016 Emilio Rafael Balda
Sher Ali Cheema
Jens Steinwandt
Martin Haardt
Amir Weiss
Arie Yeredor
+ PDF Chat Iterative Symbol Recovery for Power-Efficient DC-Biased Optical OFDM Systems 2016 Amir Weiss
Arie Yeredor
Mark Shtaif
+ MultiView Diffusion Maps. 2015 Ofir Lindenbaum
Arie Yeredor
Moshe Salhov
Amir Averbuch
+ MultiView Diffusion Maps 2015 Ofir Lindenbaum
Arie Yeredor
Moshe Salhov
Amir Averbuch
+ Multiple-snapshots BSS with general covariance structures: A partial maximum likelihood approach involving weighted joint diagonalization 2011 Arie Yeredor
+ PDF Chat Independent Component Analysis Over Galois Fields of Prime Order 2011 Arie Yeredor
+ Independent Component Analysis Over Galois Fields 2010 Arie Yeredor
+ Linear Regression With Gaussian Model Uncertainty: Algorithms and Bounds 2008 Ami Wiesel
Yonina C. Eldar
Arie Yeredor
+ Yule-Walker Equations Applied to Hessians of the Characteristic Function for Improved AR Estimation 2007 Arie Yeredor
+ Multiple delays estimation for chirp signals using structured total least squares 2004 Arie Yeredor
+ On homogeneous least-squares problems and the inconsistency introduced by mis-constraining 2004 Arie Yeredor
Bart De Moor
+ The Extended STLS Algorithm for Minimizing the Extended LS Criterion 2002 Arie Yeredor
+ The extended least squares criterion: minimization algorithms and applications 2001 Arie Yeredor
+ The joint MAP-ML criterion and its relation to ML and to extended least-squares 2000 Arie Yeredor
+ The extended least-squares and the joint maximum-a-posteriori maximum-likelihood estimation criteria 1999 Arie Yeredor
E. Weinstein
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Tensors, Learning, and “Kolmogorov Extension” for Finite-Alphabet Random Vectors 2018 Nikos Kargas
Nicholas D. Sidiropoulos
Xiao Fu
6
+ Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm 1977 A. P. Dempster
N. M. Laird
Donald B. Rubin
6
+ Toeplitz and circulant matrices 1977 Robert M. Gray
5
+ Estimation of a Low-Rank Probability-Tensor from Sample Sub-Tensors via Joint Factorization Minimizing the Kullback-Leibler Divergence 2019 Arie Yeredor
Martin Haardt
5
+ PDF Chat Blind Determination of the Number of Sources Using Distance Correlation 2019 Amir Weiss
Arie Yeredor
5
+ The Total Least Squares Problem: Computational Aspects and Analysis. 1992 George W. Fisher
Sabine Van Huffel
Joos Vandewalle
5
+ Total Least Squares, Matrix Enhancement, and Signal Processing 1994 J.A. Cadzow
4
+ Total least squares for affinely structured matrices and the noisy realization problem 1994 Bart De Moor
4
+ Eigen-structure of the fourth-order cumulant tensor with application to the blind source separation problem 2002 J.-F. Cardoso
4
+ Tensor Decompositions and Applications 2009 Tamara G. Kolda
Brett W. Bader
4
+ PDF Chat Asymptotically Optimal Blind Calibration of Uniform Linear Sensor Arrays for Narrowband Gaussian Signals 2020 Amir Weiss
Arie Yeredor
4
+ Structured total least squares and L2 approximation problems 1993 Bart De Moor
4
+ Maximum Likelihood Estimation of a Low-Rank Probability Mass Tensor From Partial Observations 2019 Arie Yeredor
Martin Haardt
4
+ First-order perturbation analysis of low-rank tensor approximations based on the truncated HOSVD 2016 Emilio Rafael Balda
Sher Ali Cheema
Jens Steinwandt
Martin Haardt
Amir Weiss
Arie Yeredor
4
+ STRUCTURED TOTAL LEAST SQUARES Analysis, Algorithms and Applications 2002 Philippe Lemmerling
Sabine Van Huffel
4
+ Probability and Statistical Inference 2020 Nitis Mukhopadhyay
4
+ Tensor Decomposition for Signal Processing and Machine Learning 2017 Nicholas D. Sidiropoulos
Lieven De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
4
+ A semi-algebraic framework for approximate CP decompositions via simultaneous matrix diagonalizations (SECSI) 2013 Florian Roemer
Martin Haardt
4
+ PDF Chat A Multilinear Singular Value Decomposition 2000 Lieven De Lathauwer
Bart De Moor
Joos Vandewalle
4
+ The joint MAP-ML criterion and its relation to ML and to extended least-squares 2000 Arie Yeredor
4
+ On the mathematical foundations of theoretical statistics 1922 Ronald Aylmer Fisher
3
+ The extended least squares criterion: minimization algorithms and applications 2001 Arie Yeredor
3
+ Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition 1970 J. Douglas Carroll
Jih-Jie Chang
3
+ A semi-algebraic framework for approximate CP decompositions via joint matrix diagonalization and generalized unfoldings 2012 Florian Roemer
Carola Schroeter
Martin Haardt
3
+ Newton-Raphson and Related Algorithms for Maximum Likelihood Variance Component Estimation 1976 Robert I. Jennrich
P. F. Sampson
3
+ An Algorithm for Finding Intrinsic Dimensionality of Data 1971 Keinosuke Fukunaga
D.R. Olsen
3
+ The extended least-squares and the joint maximum-a-posteriori maximum-likelihood estimation criteria 1999 Arie Yeredor
E. Weinstein
3
+ The Total Least Squares Problem 1991 Sabine Van Huffel
Joos Vandewalle
3
+ First-Order Perturbation Analysis of the SECSI Framework for the Approximate CP Decomposition of 3-D Noise-Corrupted Low-Rank Tensors 2017 Sher Ali Cheema
Emilio Rafael Balda
Yao Cheng
Martin Haardt
Amir Weiss
Arie Yeredor
3
+ High-Order Analysis of the Efficiency Gap for Maximum Likelihood Estimation in Nonlinear Gaussian Models 2018 Arie Yeredor
Amir Weiss
A.J. Weiss
3
+ PDF Chat Detecting intrinsic slow variables in stochastic dynamical systems by anisotropic diffusion maps 2009 Amit Singer
Radek Erban
Ioannis G. Kevrekidis
Ronald R. Coifman
3
+ On the equivalence of constrained total least squares and structured total least squares 1996 P. Lemmerling
Bart De Moor
Sabine Van Huffel
3
+ On the inverses of some patterned matrices arising in the theory of stationary time series 1974 R. F. Galbraith
Jane Galbraith
2
+ Constrained total least squares 2005 Theagenis J. Abatzoglou
Jerry M. Mendel
2
+ PDF Chat Kernel-Based Sensor Fusion With Application to Audio-Visual Voice Activity Detection 2016 David Dov
Ronen Talmon
Israel Cohen
2
+ QUIC-SVD: Fast SVD Using Cosine Trees 2008 Michael P. Holmes
J. R. Isbell
Charles Lee
Alexander Gray
2
+ Learning the geometry of common latent variables using alternating-diffusion 2015 Roy R. Lederman
Ronen Talmon
2
+ PDF Chat Coarrays, MUSIC, and the Cramér–Rao Bound 2016 Mianzhi Wang
Arye Nehorai
2
+ Moments of a linear operator, with applications to the trace of the inverse of matrices and the solution of equations 2011 Claude Brezinski
Paraskevi Fika
Marilena Mitrouli
2
+ Majorization relations for Hadamard products 1995 T. Andô
2
+ Constrained total least squares: signal and system modeling 1992 J.A. Cadzow
D.M. Wilkes
2
+ Nonnegative Matrix and Tensor Factorizations 2009 Andrzej Cichocki
Rafał Zdunek
Anh Huy Phan
Шун-ичи Амари
2
+ Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations 2009 Andrzej Cichocki
Anh Huy Phan
2
+ PDF Chat Near Maximum-Likelihood Detector and Channel Estimator for Uplink Multiuser Massive MIMO Systems With One-Bit ADCs 2016 Junil Choi
Jianhua Mo
Robert W. Heath
2
+ PDF Chat Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis 2015 Andrzej Cichocki
Danilo P. Mandic
Lieven De Lathauwer
Guoxu Zhou
Qibin Zhao
César F. Caiafa
Anh Huy Phan
2
+ RELATIONS BETWEEN TWO SETS OF VARIATES 1936 Harold Hotelling
2
+ PDF Chat On Tensors, Sparsity, and Nonnegative Factorizations 2012 C. Eric
Tamara G. Kolda
2
+ PDF Chat Semi-algebraic canonical decomposition of multi-way arrays and Joint Eigenvalue Decomposition 2011 Xavier Luciani
Laurent Albera
2
+ A Link between the Canonical Decomposition in Multilinear Algebra and Simultaneous Matrix Diagonalization 2006 Lieven De Lathauwer
2
+ A closed-form solution for multilinear PARAFAC decompositions 2008 Florian Roemer
Martin Haardt
2