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» Discriminant Analysis with Tensor Representation
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ICPR
2004
IEEE
14 years 8 months ago
Compact Representation of Multidimensional Data Using Tensor Rank-One Decomposition
This paper presents a new approach for representing multidimensional data by a compact number of bases. We consider the multidimensional data as tensors instead of matrices or vec...
Hongcheng Wang, Narendra Ahuja
PR
2010
186views more  PR 2010»
13 years 5 months ago
Feature extraction by learning Lorentzian metric tensor and its extensions
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...
Risheng Liu, Zhouchen Lin, Zhixun Su, Kewei Tang
CVPR
2007
IEEE
14 years 9 months ago
Tensor Canonical Correlation Analysis for Action Classification
We introduce a new framework, namely Tensor Canonical Correlation Analysis (TCCA) which is an extension of classical Canonical Correlation Analysis (CCA) to multidimensional data ...
Tae-Kyun Kim, Shu-Fai Wong, Roberto Cipolla
ICPR
2006
IEEE
14 years 8 months ago
Multi-orientation analysis by decomposing the structure tensor and clustering
The structure tensor yields an excellent characterization of the local dimensionality and the corresponding orientation for simple neighborhoods, i.e. neighborhoods exhibiting a s...
Lucas J. van Vliet, Frank G. A. Faas