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» Discriminant Analysis with Tensor Representation
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NIPS
2004
13 years 8 months ago
Two-Dimensional Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
Jieping Ye, Ravi Janardan, Qi Li
ICONIP
2007
13 years 8 months ago
Sparse Super Symmetric Tensor Factorization
In the paper we derive and discuss a wide class of algorithms for 3D Super-symmetric nonnegative Tensor Factorization (SNTF) or nonnegative symmetric PARAFAC, and as a special case...
Andrzej Cichocki, Marko Jankovic, Rafal Zdunek, Sh...
VIS
2008
IEEE
214views Visualization» more  VIS 2008»
14 years 8 months ago
Estimating Crossing Fibers: A Tensor Decomposition Approach
Diffusion weighted magnetic resonance imaging is a unique tool for non-invasive investigation of major nerve fiber tracts. Since the popular diffusion tensor (DT-MRI) model is limi...
Thomas Schultz, Hans-Peter Seidel
AFPAC
1997
Springer
151views Mathematics» more  AFPAC 1997»
13 years 11 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
ICMCS
2006
IEEE
110views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Image Replica Detection using R-Trees and Linear Discriminant Analysis
In this paper a novel system for image replica detection is presented. The system uses color-based descriptors in order to extract robust features for image representation. These ...
Spyros Nikolopoulos, Stefanos Zafeiriou, Panagioti...