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IPPS
2010
IEEE
13 years 3 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»
13 years 11 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»
13 years 5 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
13 years 7 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»
14 years 3 days 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