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IPPS
2010
IEEE
14 years 7 months ago
Characterizing heterogeneous computing environments using singular value decomposition
We consider a heterogeneous computing environment that consists of a collection of machines and task types. The machines vary in capabilities and different task types are better su...
Abdulla Al-Qawasmeh, Anthony A. Maciejewski, Howar...
WECWIS
2005
IEEE
137views ECommerce» more  WECWIS 2005»
15 years 3 months ago
Using Singular Value Decomposition Approximation for Collaborative Filtering
Singular Value Decomposition (SVD), together with the Expectation-Maximization (EM) procedure, can be used to find a low-dimension model that maximizes the loglikelihood of obser...
Sheng Zhang, Weihong Wang, James Ford, Fillia Make...
JMM2
2008
130views more  JMM2 2008»
14 years 9 months ago
A Robust Image Watermarking Scheme using Singular Value Decomposition
This paper presents a robust image watermarking scheme for multimedia copyright protection. In this work, host image is partitioned into four sub images. Watermark image such as `l...
B. Chandra Mohan, S. Srinivas Kumar
IPCV
2008
14 years 10 months ago
Face Recognition using PCA and LDA with Singular Value Decomposition (SVD)
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...
Neeta Nain, Nitish Agarwal, Prashant Gour, Rakesh ...
VTC
2007
IEEE
101views Communications» more  VTC 2007»
15 years 3 months ago
Multi-Functional Antenna Array Assisted MC DS-CDMA Using Downlink Preprocessing Based on Singular Value Decomposition
—In this contribution we propose and investigate a transmitter preprocessing scheme designed for downlink transmission in multicarrier direct-sequence code-division multiple-acce...
Chong Xu, Bin Hu, Lie-Liang Yang, Lajos Hanzo