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» A Riemannian Framework for Tensor Computing
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TNN
2008
141views more  TNN 2008»
13 years 8 months ago
MPCA: Multilinear Principal Component Analysis of Tensor Objects
This paper introduces a multilinear principal component analysis (MPCA) framework for tensor object feature extraction. Objects of interest in many computer vision and pattern rec...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
IJCV
2010
249views more  IJCV 2010»
13 years 7 months ago
A Computational Model of Multidimensional Shape
We develop a computational model of shape that extends existing Riemannian models of shape of curves to multidimensional objects of general topological type. We construct shape sp...
Xiuwen Liu, Yonggang Shi, Ivo D. Dinov, Washington...
CVPR
2011
IEEE
13 years 10 days ago
Support Tucker Machines
In this paper we address the two-class classification problem within the tensor-based framework, by formulating the Support Tucker Machines (STuMs). More precisely, in the propos...
Irene Kotsia, Ioannis Patras
MM
2005
ACM
122views Multimedia» more  MM 2005»
14 years 2 months ago
Image clustering with tensor representation
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han
ICPR
2006
IEEE
14 years 2 months ago
Tensor Voting Accelerated by Graphics Processing Units (GPU)
This paper presents a new GPU-based tensor voting implementation which achieves significant performance improvement over the conventional CPU-based implementation. Although the t...
Changki Min, Gérard G. Medioni