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» Parallel Algorithms for Singular Value Decomposition
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ICDM
2008
IEEE
172views Data Mining» more  ICDM 2008»
15 years 4 months ago
Latent Dirichlet Allocation and Singular Value Decomposition Based Multi-document Summarization
Multi-Document Summarization deals with computing a summary for a set of related articles such that they give the user a general view about the events. One of the objectives is th...
Rachit Arora, Balaraman Ravindran
IPCV
2008
14 years 11 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 ...
ICIP
2003
IEEE
15 years 11 months ago
Quaternion matrix singular value decomposition and its applications for color image processing
In this paper, we first discuss the singular value decomposition (SVD) of a quaternion matrix and propose an algorithm to calculate the SVD of a quaternion matrix using its equiva...
Soo-Chang Pei, Ja-Han Chang, Jian-Jiun Ding
DAC
2007
ACM
15 years 10 months ago
Accurate Waveform Modeling using Singular Value Decomposition with Applications to Timing Analysis
It is known that ramp-based models are not sufficient for accurate timing modeling. In this paper, we develop a technique that accurately models the waveforms, and also allows a f...
Anand Ramalingam, Ashish Kumar Singh, Sani R. Nass...
GPB
2010
231views Solid Modeling» more  GPB 2010»
14 years 7 months ago
Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualiz...
Ferran Reverter, Esteban Vegas, Pedro Sánch...