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IJCV
2006
116views more  IJCV 2006»
14 years 9 months ago
Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection
This paper explores various aspects of the image decomposition problem using modern variational techniques. We aim at splitting an original image f into two components u and v, whe...
Jean-François Aujol, Guy Gilboa, Tony F. Ch...
EP
1998
Springer
15 years 1 months ago
Spotting Topics with the Singular Value Decomposition
Abstract. The singular value decomposition, or SVD , has been studied in the past as a tool for detecting and understanding patterns in a collection of documents. We show how the m...
Charles K. Nicholas, Randall Dahlberg
CLA
2004
14 years 11 months ago
Concept Lattice Generation by Singular Value Decomposition
Abstract. Latent semantic indexing (LSI) is an application of numerical method called singular value decomposition (SVD), which discovers latent semantic in documents by creating c...
Petr Gajdos, Pavel Moravec, Václav Sn&aacut...
JPDC
2007
177views more  JPDC 2007»
14 years 9 months ago
Adaptive decomposition and remapping algorithms for object-space-parallel direct volume rendering of unstructured grids
Object space (OS) parallelization of an efficient direct volume rendering algorithm for unstructured grids on distributed-memory architectures is investigated. The adaptive OS de...
Cevdet Aykanat, Berkant Barla Cambazoglu, Ferit Fi...
BMCBI
2008
138views more  BMCBI 2008»
14 years 9 months ago
Combining transcriptional datasets using the generalized singular value decomposition
Background: Both microarrays and quantitative real-time PCR are convenient tools for studying the transcriptional levels of genes. The former is preferable for large scale studies...
Andreas W. Schreiber, Neil J. Shirley, Rachel A. B...