Sciweavers

TNN
2010
148views Management» more  TNN 2010»
12 years 11 months ago
Generalized low-rank approximations of matrices revisited
Compared to Singular Value Decomposition (SVD), Generalized Low Rank Approximations of Matrices (GLRAM) can consume less computation time, obtain higher compression ratio, and yiel...
Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan
JCAM
2010
93views more  JCAM 2010»
12 years 12 months ago
Singular-value-like decomposition for complex matrix triples
The classical singular value decomposition for a matrix A Cm
Christian Mehl, Volker Mehrmann, Hongguo Xu
MTA
2011
260views Hardware» more  MTA 2011»
12 years 12 months ago
An audio watermarking scheme using singular value decomposition and dither-modulation quantization
Quantization index modulation is one of the best methods for performing blind watermarking, due to its simplicity and good rate-distortion-robustness tradeoffs. In this paper, a ne...
Vivekananda Bhat K., Indranil Sengupta, Abhijit Da...
DCC
2011
IEEE
13 years 18 hour ago
Color Image Compression Using a Learned Dictionary of Pairs of Orthonormal Bases
We present a new color image compression algorithm for RGB images. In our previous work [6], we presented a machine learning technique to derive a dictionary of orthonormal basis ...
Xin Hou, Karthik S. Gurumoorthy, Ajit Rajwade
BIBE
2010
IEEE
148views Bioinformatics» more  BIBE 2010»
13 years 2 days ago
Prediction of Gene Ontology Annotations Based on Gene Functional Clustering
We propose an algorithm that predicts potentially missing Gene Ontology annotations, in order to speed up the time-consuming annotation curation process. The proposed method extend...
Marco Tagliasacchi, Roberto Sarati, Marco Masserol...
ICIP
2010
IEEE
13 years 3 months ago
A no-reference image content metric and its application to denoising
A no-reference image metric based on the singular value decomposition of local image gradients is proposed in this paper. This metric provides a quantitative measure of true image...
Xiang Zhu, Peyman Milanfar
CVPR
2010
IEEE
13 years 3 months ago
Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm
The calculation of a low-rank approximation of a matrix is a fundamental operation in many computer vision applications. The workhorse of this class of problems has long been the ...
Anders Eriksson, Anton van den Hengel
ACL
2010
13 years 3 months ago
SVD and Clustering for Unsupervised POS Tagging
We revisit the algorithm of Sch
Michael Lamar, Yariv Maron, Mark Johnson, Elie Bie...
TPDS
2010
174views more  TPDS 2010»
13 years 3 months ago
Parallel Two-Sided Matrix Reduction to Band Bidiagonal Form on Multicore Architectures
The objective of this paper is to extend, in the context of multicore architectures, the concepts of tile algorithms [Buttari et al., 2007] for Cholesky, LU, QR factorizations to t...
Hatem Ltaief, Jakub Kurzak, Jack Dongarra
SIVP
2010
197views more  SIVP 2010»
13 years 3 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...