Zhenyue Zhang

According to our database1, Zhenyue Zhang authored at least 38 papers between 2000 and 2018.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Rank-sparsity balanced representation for subspace clustering.
Mach. Vis. Appl., 2018

2017
Uniform Projection for Multi-View Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Principal Boundary on Riemannian Manifolds.
CoRR, 2017

2016
A local convex method for rank-sparsity factorization.
Pattern Recognition Letters, 2016

Jointly sparse neighborhood graph for multi-view manifold clustering.
Neurocomputing, 2016

2013
Low-Rank Matrix Approximation with Manifold Regularization.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

2012
Adaptive Manifold Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Inducible regularization for low-rank matrix factorizations for collaborative filtering.
Neurocomputing, 2012

2011
Locally affine patch mapping and global refinement for image super-resolution.
Pattern Recognition, 2011

2010
A Modified Nonlinear Inexact Uzawa Algorithm with a Variable Relaxation Parameter for the Stabilized Saddle Point Problem.
SIAM J. Matrix Analysis Applications, 2010

Nonlinear embedding preserving multiple local-linearities.
Pattern Recognition, 2010

Successively alternate least square for low-rank matrix factorization with bounded missing data.
Computer Vision and Image Understanding, 2010

2009
Spectral Properties of the Alignment Matrices in Manifold Learning.
SIAM Review, 2009

Supervised locally linear embedding with probability-based distance for classification.
Computers & Mathematics with Applications, 2009

2008
Spectral methods for semi-supervised manifold learning.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Stability and Fast Algorithms of Incomplete LU Factorization with Zero-Fill for Nine-Diagonal Matrices.
SIAM J. Matrix Analysis Applications, 2007

Continuum Isomap for manifold learnings.
Computational Statistics & Data Analysis, 2007

The matrix equations AX=B, XC=F with PX=sXP constraint.
Applied Mathematics and Computation, 2007

Matrix iterative solutions to the least squares problem of BXAT=F with some linear constraints.
Applied Mathematics and Computation, 2007

Probability-Based Locally Linear Embedding for Classification.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006
On Weight Design of Maximum Weighted Likelihood and an Extended EM Algorithm.
IEEE Trans. Knowl. Data Eng., 2006

MLLE: Modified Locally Linear Embedding Using Multiple Weights.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005
Necessary and Sufficient Conditions for the Existence of Positive Definite Solutions to the Symmetric Recursive Inverse Eigenvalue Problem.
SIAM J. Matrix Analysis Applications, 2005

A Domain Decomposition Method for Fast Manifold Learning.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Spectral analysis of alignment in manifold learning.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment.
SIAM J. Scientific Computing, 2004

Low-Rank Approximations with Sparse Factors II: Penalized Methods with Discrete Newton-Like Iterations.
SIAM J. Matrix Analysis Applications, 2004

Adaptive Manifold Learning.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Local Smoothing for Manifold Learning.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
A Projection Method for Least Squares Problems with a Quadratic Equality Constraint.
SIAM J. Matrix Analysis Applications, 2003

Automatic Document Metadata Extraction Using Support Vector Machines.
Proceedings of the ACM/IEEE 2003 Joint Conference on Digital Libraries (JCDL 2003), 2003

Nonlinear Dimension Reduction via Local Tangent Space Alignment.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

Isometric Embedding and Continuum ISOMAP.
Proceedings of the Machine Learning, 2003

2002
Low-Rank Approximations with Sparse Factors I: Basic Algorithms and Error Analysis.
SIAM J. Matrix Analysis Applications, 2002

A modified Gram-Schmidt-based downdating technique for ULV decompositions with applications to recursive TLS problems.
Computational Statistics & Data Analysis, 2002

Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment
CoRR, 2002

2001
Structure and Perturbation Analysis of Truncated SVDs for Column-Partitioned Matrices.
SIAM J. Matrix Analysis Applications, 2001

2000
Matrices with Low-Rank-Plus-Shift Structure: Partial SVD and Latent Semantic Indexing.
SIAM J. Matrix Analysis Applications, 2000


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