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CORR
2006
Springer
109views Education» more  CORR 2006»
13 years 11 months ago
Singular Values and Eigenvalues of Tensors: A Variational Approach
We propose a theory of eigenvalues, eigenvectors, singular values, and singular vectors for tensors based on a constrained variational approach much like the Rayleigh quotient for...
Lek-Heng Lim
SIVP
2010
197views more  SIVP 2010»
13 years 9 months ago
Video watermarking using wavelet transform and tensor algebra
We present a robust, hybrid non-blind MPEG video watermarking technique based on a high-order tensor singular value decomposition and the discrete wavelet transform (DWT). The core...
Emad E. Abdallah, A. Ben Hamza, Prabir Bhattachary...
COLING
2008
14 years 19 days ago
Enhancing Multilingual Latent Semantic Analysis with Term Alignment Information
Latent Semantic Analysis (LSA) is based on the Singular Value Decomposition (SVD) of a term-by-document matrix for identifying relationships among terms and documents from cooccur...
Brett W. Bader, Peter A. Chew
ICMCS
2005
IEEE
172views Multimedia» more  ICMCS 2005»
14 years 4 months ago
A Study of Synthesizing New Human Motions from Sampled Motions Using Tensor Decomposition
This paper applies an algorithm, based on Tensor Decomposition, to a new synthesis application: by using sampled motions of people of different ages under different emotional stat...
Rovshan Kalanov, Jieun Cho, Jun Ohya
CVPR
2008
IEEE
15 years 1 months ago
Robust tensor factorization using R1 norm
Over the years, many tensor based algorithms, e.g. two dimensional principle component analysis (2DPCA), two dimensional singular value decomposition (2DSVD), high order SVD, have...
Heng Huang, Chris H. Q. Ding