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ICDM
2006
IEEE
225views Data Mining» more  ICDM 2006»
13 years 11 months ago
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
JACM
2011
152views more  JACM 2011»
12 years 8 months ago
Robust principal component analysis?
This paper is about a curious phenomenon. Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Can we recover each component i...
Emmanuel J. Candès, Xiaodong Li, Yi Ma, Joh...
AFPAC
1997
Springer
151views Mathematics» more  AFPAC 1997»
13 years 9 months ago
Trilinear Tensor: The Fundamental Construct of Multiple-view Geometry and Its Applications
The topic of representation, recovery and manipulation of three-dimensional 3D scenes from two-dimensional 2D images thereof, provides a fertile ground for both intellectual th...
Amnon Shashua
ICB
2007
Springer
188views Biometrics» more  ICB 2007»
13 years 7 months ago
Color Face Tensor Factorization and Slicing for Illumination-Robust Recognition
In this paper we present a face recognition method based on multiway analysis of color face images, which is robust to varying illumination conditions. Illumination changes cause l...
Yong-Deok Kim, Seungjin Choi
CVPR
2005
IEEE
14 years 7 months ago
Concurrent Subspaces Analysis
A representative subspace is significant for image analysis, while the corresponding techniques often suffer from the curse of dimensionality dilemma. In this paper, we propose a ...
Dong Xu, Shuicheng Yan, Lei Zhang, HongJiang Zhang...