Search results for "low-rank"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
64	Yang Cong, Ji Liu 0002, Junsong Yuan, Jiebo Luo	Low-Rank Online Metric Learning.	Low-Rank and Sparse Modeling for Visual Analysis	2014	DBLP DOI BibTeX RDF
64	Jianhui Chen, Jiayu Zhou, Jieping Ye	Low-Rank and Sparse Multi-task Learning.	Low-Rank and Sparse Modeling for Visual Analysis	2014	DBLP DOI BibTeX RDF
64	Ming Shao, Dmitry Kit, Yun Fu 0001	Low-Rank Transfer Learning.	Low-Rank and Sparse Modeling for Visual Analysis	2014	DBLP DOI BibTeX RDF
64	Guangcan Liu, Shuicheng Yan	Latent Low-Rank Representation.	Low-Rank and Sparse Modeling for Visual Analysis	2014	DBLP DOI BibTeX RDF
64	Guoqiang Zhong 0001, Mohamed Cheriet	Low Rank Tensor Manifold Learning.	Low-Rank and Sparse Modeling for Visual Analysis	2014	DBLP DOI BibTeX RDF
64	Guangcan Liu, Shuicheng Yan	Scalable Low-Rank Representation.	Low-Rank and Sparse Modeling for Visual Analysis	2014	DBLP DOI BibTeX RDF
64	Ivan Markovsky, Konstantin Usevich	Nonlinearly Structured Low-Rank Approximation.	Low-Rank and Sparse Modeling for Visual Analysis	2014	DBLP DOI BibTeX RDF
64	Sheng Li 0001, Liangyue Li, Yun Fu 0001	Low-Rank and Sparse Dictionary Learning.	Low-Rank and Sparse Modeling for Visual Analysis	2014	DBLP DOI BibTeX RDF
64	Sheng Li 0001, Ming Shao, Yun Fu 0001	Low-Rank Outlier Detection.	Low-Rank and Sparse Modeling for Visual Analysis	2014	DBLP DOI BibTeX RDF
55	Jieping Ye	Generalized low rank approximations of matrices.	ICML	2004	DBLP DOI BibTeX RDF	classification, Singular Value Decomposition (SVD), low rank approximation
54	Ming Shao, Mingbo Ma, Yun Fu 0001	Sparse Manifold Subspace Learning.	Low-Rank and Sparse Modeling for Visual Analysis	2014	DBLP DOI BibTeX RDF
52	András A. Benczúr, Károly Csalogány, Tamás Sarlós	On the feasibility of low-rank approximation for personalized PageRank.	WWW (Special interest tracks and posters)	2005	DBLP DOI BibTeX RDF	personalized PageRank, singular value decomposition, link analysis, web information retrieval, low-rank approximation
51	Nam H. Nguyen, Thong T. Do, Trac D. Tran	A fast and efficient algorithm for low-rank approximation of a matrix.	STOC	2009	DBLP DOI BibTeX RDF	low rank matrix approximation, noncommutative khintchine inequality, structurally random matrix, singular value decomposition
49	Jianhui Chen, Ji Liu 0002, Jieping Ye	Learning incoherent sparse and low-rank patterns from multiple tasks.	KDD	2010	DBLP DOI BibTeX RDF	sparse and low-rank patterns, trace norm, multi-task learning
49	Pei Chen	Optimization Algorithms on Subspaces: Revisiting Missing Data Problem in Low-Rank Matrix.	Int. J. Comput. Vis.	2008	DBLP DOI BibTeX RDF	Low-rank matrix approximation, Missing data problem, Singular value decomposition, Subspace, Levenberg-Marquardt algorithm
46	Alan M. Frieze, Ravi Kannan, Santosh S. Vempala	Fast monte-carlo algorithms for finding low-rank approximations.	J. ACM	2004	DBLP DOI BibTeX RDF	Matrix algorithms, sampling, low-rank approximation
45	Kenneth L. Clarkson, David P. Woodruff	Numerical linear algebra in the streaming model.	STOC	2009	DBLP DOI BibTeX RDF	linear regression, low-rank approximation, matrix product
43	Brian Kulis, Mátyás A. Sustik, Inderjit S. Dhillon	Learning low-rank kernel matrices.	ICML	2006	DBLP DOI BibTeX RDF
42	Dimitris Achlioptas, Frank McSherry	Fast computation of low-rank matrix approximations.	J. ACM	2007	DBLP DOI BibTeX RDF	sampling, Singular value decomposition, low rank approximation
41	Samuel Burer, Renato D. C. Monteiro	Local Minima and Convergence in Low-Rank Semidefinite Programming.	Math. Program.	2005	DBLP DOI BibTeX RDF	Low-rank matrices, Vector programming, Combinatorial optimization, Semidefinite programming, Nonlinear programming, Numerical experiments, Augmented Lagrangian
41	Mark Rudelson, Roman Vershynin	Sampling from large matrices: An approach through geometric functional analysis.	J. ACM	2007	DBLP DOI BibTeX RDF	Randomized algorithms, singular-value decompositions, Monte-Carlo methods, massive data sets, low-rank approximations
38	Ernesto L. Santos, Michael D. Zoltowski, Muralidhar Rangaswamy	Indirect Dominant Mode Rejection: A Solution to Low Sample Support Beamforming.	IEEE Trans. Signal Process.	2007	DBLP DOI BibTeX RDF
37	Jieping Ye	Generalized Low Rank Approximations of Matrices.	Mach. Learn.	2005	DBLP DOI BibTeX RDF	classification, singular value decomposition, reconstruction error, matrix approximation
37	Shan Ouyang 0001	Bi-iterative least squares algorithms for blind channel identification and equalization with second-order statistics.	Sci. China Ser. F Inf. Sci.	2009	DBLP DOI BibTeX RDF	intersymbol interference, blind identification and equalization, subspace tracking, second-order statistics, inverse QR iteration, bi-iteration, SIMO, interference, QR-decomposition, low-rank approximation
36	Lior Wolf, Hueihan Jhuang, Tamir Hazan	Modeling Appearances with Low-Rank SVM.	CVPR	2007	DBLP DOI BibTeX RDF
33	Guido Dietl, Wolfgang Utschick	Complexity Reduction of Iterative Receivers Using Low-Rank Equalization.	IEEE Trans. Signal Process.	2007	DBLP DOI BibTeX RDF
33	Francis R. Bach, Michael I. Jordan	Predictive low-rank decomposition for kernel methods.	ICML	2005	DBLP DOI BibTeX RDF
33	Paul Beame, Trinh Huynh, Toniann Pitassi	Hardness amplification in proof complexity.	STOC	2010	DBLP DOI BibTeX RDF	communication complexity, proof complexity
32	Hanghang Tong, Spiros Papadimitriou, Jimeng Sun 0001, Philip S. Yu, Christos Faloutsos	Colibri: fast mining of large static and dynamic graphs.	KDD	2008	DBLP DOI BibTeX RDF	scalability, graph mining, low-rank approximation
32	José M. Badía, Peter Benner, Rafael Mayo 0002, Enrique S. Quintana-Ortí	Solving Large Sparse Lyapunov Equations on Parallel Computers (Research Note).	Euro-Par	2002	DBLP DOI BibTeX RDF	ADI iteration, sparse linear systems, low-rank approximation, Lyapunov equations
31	Hongcheng Wang, Narendra Ahuja	A Tensor Approximation Approach to Dimensionality Reduction.	Int. J. Comput. Vis.	2008	DBLP DOI BibTeX RDF	Rank-R tensor approximation, Multilinear analysis, Object recognition, Dimensionality reduction
31	Raghu Meka, Prateek Jain 0002, Constantine Caramanis, Inderjit S. Dhillon	Rank minimization via online learning.	ICML	2008	DBLP DOI BibTeX RDF
29	Chunsheng Fang, Anca L. Ralescu, Mojtaba Kohram	Spectral Regression with Low-Rank Approximation for Dynamic Graph Link Prediction.	IEEE Intell. Syst.	2011	DBLP DOI BibTeX RDF	dynamic graph analysis, social networks, intelligent systems, statistical models, spectral methods, link prediction, low-rank approximation, ARMA
29	Dipanjan Gope, Swagato Chakraborty, Vikram Jandhyala	A fast parasitic extractor based on low-rank multilevel matrix compression for conductor and dielectric modeling in microelectronics and MEMS.	DAC	2004	DBLP DOI BibTeX RDF	conductors and dielectrics, low-rank, parasitics, multilevel
29	Pei Chen	Heteroscedastic Low-Rank Matrix Approximation by the Wiberg Algorithm.	IEEE Trans. Signal Process.	2008	DBLP DOI BibTeX RDF
29	Adrien Bartoli, Vincent Gay-Bellile, Umberto Castellani, Julien Peyras, Søren I. Olsen, Patrick Sayd	Coarse-to-fine low-rank structure-from-motion.	CVPR	2008	DBLP DOI BibTeX RDF
29	Zhaosong Lu, Renato D. C. Monteiro	A modified nearly exact method for solving low-rank trust region subproblem.	Math. Program.	2007	DBLP DOI BibTeX RDF	Mathematics Subject Classification (2000) 90C06, 90C30, 65K05
29	Jeffrey A. Foutz, Andreas S. Spanias	An Adaptive Low Rank Algorithm for Semispherical Antenna Arrays.	ISCAS	2007	DBLP DOI BibTeX RDF
29	Shuhua Wang, Hengjun Wang, Paul R. Weldon	Bibliometric analysis of English-language academic journals of China and their internationalization.	Scientometrics	2007	DBLP DOI BibTeX RDF
28	Jonathan A. Kelner, Evdokia Nikolova	On the Hardness and Smoothed Complexity of Quasi-Concave Minimization.	FOCS	2007	DBLP DOI BibTeX RDF
27	Hongjun Jia, Aleix M. Martínez	Low-Rank Matrix Fitting Based on Subspace Perturbation Analysis with Applications to Structure from Motion.	IEEE Trans. Pattern Anal. Mach. Intell.	2009	DBLP DOI BibTeX RDF
27	Roger Fletcher	A New Low Rank Quasi-Newton Update Scheme for Nonlinear Programming.	System Modelling and Optimization	2005	DBLP DOI BibTeX RDF	symmetric rank one, filter, nonlinear programming, quasi-Newton, limited memory, SQP
27	Pavel Pudlák	Cycles of Nonzero Elements in Low Rank Matrices.	Comb.	2002	DBLP DOI BibTeX RDF	AMS Subject Classification (1991) Classes: 05C99, 15A99, 68R10
26	Yakun Sun, Michael L. Honig	Performance of Reduced-Rank Equalization.	IEEE Trans. Inf. Theory	2006	DBLP DOI BibTeX RDF
26	Luigi Grippo, Laura Palagi, Veronica Piccialli	Necessary and sufficient global optimality conditions for NLP reformulations of linear SDP problems.	J. Glob. Optim.	2009	DBLP DOI BibTeX RDF	Low-rank factorization, Semidefinite programming, Optimality conditions
26	Kristjan Jonasson, Sebastian E. Ferrando	Evaluating exact VARMA likelihood and its gradient when data are incomplete.	ACM Trans. Math. Softw.	2008	DBLP DOI BibTeX RDF	Exact likelihood function, VARMA, determinant of low rank update, matrix derivative, matrix differentiation, vector autoregressive moving average model, missing values, incomplete data, ARMA
26	B. Ganguli, Matt P. Wand	Feature significance in generalized additive models.	Stat. Comput.	2007	DBLP DOI BibTeX RDF	Best linear unbiased prediction (BLUP), Bivariate smoothing, Generalised linear mixed models, Low-rank mixed models, Penalised splines, Penalised quasi-likelihood (PQL), Geostatistics, Additive models
23	Michael Rübsamen, Christian Gerlach, Alex B. Gershman	Low-rank covariance matrix tapering for robust adaptive beamforming.	ICASSP	2008	DBLP DOI BibTeX RDF
23	Kai Zhang 0001, Ivor W. Tsang, James T. Kwok	Improved Nyström low-rank approximation and error analysis.	ICML	2008	DBLP DOI BibTeX RDF
23	Aleksandar Dogandzic, Benhong Zhang	Bayesian Complex Amplitude Estimation and Adaptive Matched Filter Detection in Low-Rank Interference.	IEEE Trans. Signal Process.	2007	DBLP DOI BibTeX RDF
23	Yafeng Hu, Feng Zhu, Hairong Lv, Xianda Zhang 0001	Handwritten Digit Recognition Using Low Rank Approximation Based Competitive Neural Network.	ISNN (2)	2006	DBLP DOI BibTeX RDF
23	Nicoletta Del Buono, Tiziano Politi	A Continuous Weighted Low-Rank Approximation for Collaborative Filtering Problems.	ICAPR (1)	2005	DBLP DOI BibTeX RDF
23	Dimitris Achlioptas, Frank McSherry	Fast computation of low rank matrix.	STOC	2001	DBLP DOI BibTeX RDF
23	Lorenzo Torresani, Danny B. Yang, Eugene J. Alexander, Christoph Bregler	Tracking and Modeling Non-Rigid Objects with Rank Constraints.	CVPR (1)	2001	DBLP DOI BibTeX RDF
23	Daniel Leivant	Polymorphic Type Inference.	POPL	1983	DBLP DOI BibTeX RDF
22	Epameinondas Fritzilas, Yasmín Á. Ríos-Solís, Sven Rahmann	Structural Identifiability in Low-Rank Matrix Factorization.	COCOON	2008	DBLP DOI BibTeX RDF
22	Daniel Martinec, Tomás Pajdla	3D Reconstruction by Fitting Low-Rank Matrices with Missing Data.	CVPR (1)	2005	DBLP DOI BibTeX RDF
22	Nicoletta Del Buono, Tiziano Politi	A Continuous Technique for the Weighted Low-Rank Approximation Problem.	ICCSA (2)	2004	DBLP DOI BibTeX RDF
21	Adrien Bartoli, Søren I. Olsen	A Batch Algorithm for Implicit Non-rigid Shape and Motion Recovery.	WDV	2006	DBLP DOI BibTeX RDF
21	Monica Nicoli, Umberto Spagnolini	Reduced-rank channel estimation for time-slotted mobile communication systems.	IEEE Trans. Signal Process.	2005	DBLP DOI BibTeX RDF
21	Hongcheng Wang, Narendra Ahuja	Rank-R Approximation of Tensors: Using Image-as-Matrix Representation.	CVPR (2)	2005	DBLP DOI BibTeX RDF
21	Hong-Sik Kim, YongJoon Kim, Sungho Kang 0001	Test-decompression mechanism using a variable-length multiple-polynomial LFSR.	IEEE Trans. Very Large Scale Integr. Syst.	2003	DBLP DOI BibTeX RDF
21	Adeel A. Bhutta, Hassan Foroosh	Blind Blur Estimation Using Low Rank Approximation of Cepstrum.	ICIAR (1)	2006	DBLP DOI BibTeX RDF
21	Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun	Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits.	CoRR	2024	DBLP DOI BibTeX RDF
21	Sisipho Hamlomo, Marcellin Atemkeng, Yusuf Brima, Chuneeta Nunhokee, Jeremy Baxter	Advancing Low-Rank and Local Low-Rank Matrix Approximation in Medical Imaging: A Systematic Literature Review and Future Directions.	CoRR	2024	DBLP DOI BibTeX RDF
21	Hiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji, Ichiro Takeuchi	Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications.	Neural Comput.	2023	DBLP DOI BibTeX RDF
21	Anna Ma, Dominik Stöger, Yizhe Zhu	Robust Recovery of Low-Rank Matrices and Low-Tubal-Rank Tensors from Noisy Sketches.	SIAM J. Matrix Anal. Appl.	2023	DBLP DOI BibTeX RDF
21	Hiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji, Ichiro Takeuchi	Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications.	CoRR	2023	DBLP DOI BibTeX RDF
21	Axel Séguin, Gianluca Ceruti, Daniel Kressner	From low-rank retractions to dynamical low-rank approximation and back.	CoRR	2023	DBLP DOI BibTeX RDF
21	Zhiyuan Zha, Bihan Wen, Xin Yuan 0002, Saiprasad Ravishankar, Jiantao Zhou 0001, Ce Zhu	Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling.	IEEE Signal Process. Mag.	2023	DBLP DOI BibTeX RDF
21	Matthieu Gerest	Using Block Low-Rank compression in mixed precision for sparse direct linear solvers. (Utilisation de compression Block Low-Rank en précision mixte pour améliorer les performances d'un solveur linéaire creux direct).		2023	RDF
21	Li Guo, Xiaoqian Zhang, Qian Wang, Xuqian Xue, Zhigui Liu, Yongfeng Mu	Joint enhanced low-rank constraint and kernel rank-order distance metric for low level vision processing.	Expert Syst. Appl.	2022	DBLP DOI BibTeX RDF
21	Teng-Yu Ji, Xi-Le Zhao, Dong-Lin Sun	Low-Rank Tensor Completion Method for Implicitly Low-Rank Visual Data.	IEEE Signal Process. Lett.	2022	DBLP DOI BibTeX RDF
21	Dan Garber, Atara Kaplan	Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems.	CoRR	2022	DBLP BibTeX RDF
21	Anna Ma, Dominik Stöger, Yizhe Zhu	Robust recovery of low-rank matrices and low-tubal-rank tensors from noisy sketches.	CoRR	2022	DBLP DOI BibTeX RDF
21	Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco	Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations.	CoRR	2022	DBLP DOI BibTeX RDF
21	Dan Garber, Atara Kaplan	Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems.	CoRR	2022	DBLP DOI BibTeX RDF
21	Benjamin Carrel, Martin J. Gander, Bart Vandereycken	Low-rank Parareal: a low-rank parallel-in-time integrator.	CoRR	2022	DBLP DOI BibTeX RDF
21	Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco	Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations.	NeurIPS	2022	DBLP BibTeX RDF
21	Atara Kaplan, Dan Garber	Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems.	NeurIPS	2021	DBLP BibTeX RDF
21	Jianxi Zhao, Lina Zhao 0002	Low-rank and sparse matrices fitting algorithm for low-rank representation.	Comput. Math. Appl.	2020	DBLP DOI BibTeX RDF
21	Dan Garber	On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank Matrix Problems.	CoRR	2020	DBLP BibTeX RDF
21	Dan Garber	On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank Matrix Problems.	COLT	2020	DBLP BibTeX RDF
21	Patrick R. Amestoy, Alfredo Buttari, Jean-Yves L'Excellent, Théo Mary	Bridging the Gap Between Flat and Hierarchical Low-Rank Matrix Formats: The Multilevel Block Low-Rank Format.	SIAM J. Sci. Comput.	2019	DBLP DOI BibTeX RDF
21	Xiao-Tong Li, Xi-Le Zhao, Tai-Xiang Jiang, Yu-Bang Zheng, Teng-Yu Ji, Ting-Zhu Huang	Low-rank tensor completion via combined non-local self-similarity and low-rank regularization.	Neurocomputing	2019	DBLP DOI BibTeX RDF
21	Prashanth Kumar G., Rajiv Ranjan Sahay	Low Rank Poisson Denoising (LRPD): A Low Rank Approach Using Split Bregman Algorithm for Poisson Noise Removal From Images.	CVPR Workshops	2019	DBLP BibTeX RDF
21	Xiang Zhang 0008, Yongqiang Gao, Long Lan, Xiaowei Guo, Xuhui Huang, Zhigang Luo	Low-Rank Matrix Recovery via Continuation-Based Approximate Low-Rank Minimization.	PRICAI (1)	2018	DBLP DOI BibTeX RDF
21	Liang Luo, Zhi-Qin Zhao, Xiao-Pin Li	A Novel Surveillance Video Processing Using Stochastic Low-Rank And Generalized Low-Rank Approximation Techniques.	ICMLC	2018	DBLP DOI BibTeX RDF
21	Grégoire Pichon	On the use of low-rank arithmetic to reduce the complexity of parallel sparse linear solvers based on direct factorization techniques. (Utilisation de la compression low-rank pour réduire la complexité des solveurs creux parallèles basés sur des techniques de factorisation directes).		2018	RDF
21	Charles Ethan Hayes, James H. McClellan, Waymond R. Scott	Low-rank physical model recovery from low-rank signal approximation.	ICASSP	2017	DBLP DOI BibTeX RDF
21	Jonas Ballani, Daniel Kressner	Reduced Basis Methods: From Low-Rank Matrices to Low-Rank Tensors.	SIAM J. Sci. Comput.	2016	DBLP DOI BibTeX RDF
21	Frank Ong, Michael Lustig	Beyond Low Rank + Sparse: Multiscale Low Rank Matrix Decomposition.	IEEE J. Sel. Top. Signal Process.	2016	DBLP DOI BibTeX RDF
21	Frank Ong, Michael Lustig	Beyond low rank + sparse: Multi-scale low rank matrix decomposition.	ICASSP	2016	DBLP DOI BibTeX RDF
21	Frank Ong, Michael Lustig	Beyond Low Rank + Sparse: Multi-scale Low Rank Matrix Decomposition.	CoRR	2015	DBLP BibTeX RDF
21	Guillaume Ginolhac, Philippe Forster	Performance analysis of a Robust Low-Rank STAP filter in low-rank Gaussian clutter.	ICASSP	2010	DBLP DOI BibTeX RDF
19	Takahito Kuno	Multiplicative Programming.	Encyclopedia of Optimization	2009	DBLP DOI BibTeX RDF	Nonconvex minimization, Low-rank nonconvexity, Optimization
19	Takahito Kuno	Global Optimization in Multiplicative Programming.	Encyclopedia of Optimization	2009	DBLP DOI BibTeX RDF	Nonconvex minimization, Low-rank nonconvexity, Parametric methods, Global optimization
19	Christos Boutsidis, Jimeng Sun 0001, Nikos Anerousis	Clustered subset selection and its applications on it service metrics.	CIKM	2008	DBLP DOI BibTeX RDF	low rank matrix approximation, clustering, service provider, service delivery, subset selection
19	Amit Deshpande 0001, Luis Rademacher, Santosh S. Vempala, Grant Wang	Matrix approximation and projective clustering via volume sampling.	SODA	2006	DBLP DOI BibTeX RDF
19	Lars Grasedyck	Adaptive Recompression of H -Matrices for BEM.	Computing	2005	DBLP DOI BibTeX RDF	formatted matrix operations, preconditioning, Hierarchical matrices, boundary elements, fast solvers, data-sparse approximations