Sciweavers

EP
1998
Springer
13 years 9 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
RT
1999
Springer
13 years 9 months ago
Interactive Rendering with Arbitrary BRDFs using Separable Approximations
A separable decomposition of bidirectional reflectance distributions (BRDFs) is used to implement arbitrary reflectances from point sources on existing graphics hardware. Two-dim...
Jan Kautz, Michael D. McCool
PVM
1999
Springer
13 years 9 months ago
Parallel Computation of the SVD of a Matrix Product
In this paper we study a parallel algorithm for computing the singular value decomposition (SVD) of a product of two matrices on message passing multiprocessors. This algorithm is ...
José M. Claver, Manuel Mollar, Vicente Hern...
PCI
2001
Springer
13 years 9 months ago
An Experimental Evaluation of a Monte-Carlo Algorithm for Singular Value Decomposition
We demonstrate that an algorithm proposed by Drineas et. al. in [7] to approximate the singular vectors/values of a matrix A, is not only of theoretical interest but also a fast, v...
Petros Drineas, Eleni Drinea, Patrick S. Huggins
ICARIS
2003
Springer
13 years 10 months ago
Signal Processing by an Immune Type Tree Transform
Abstract. The paper makes an attempt to introduce a new approach for detection of local singularities in signals, including one-dimensional time series and two-dimensional images. ...
Nikolaos D. Atreas, Costas G. Karanikas, Alexander...
MMSEC
2004
ACM
209views Multimedia» more  MMSEC 2004»
13 years 10 months ago
Robust DWT-SVD domain image watermarking: embedding data in all frequencies
Protection of digital multimedia content has become an increasingly important issue for content owners and service providers. As watermarking is identified as a major technology t...
Emir Ganic, Ahmet M. Eskicioglu
GECCO
2005
Springer
186views Optimization» more  GECCO 2005»
13 years 10 months ago
Subproblem optimization by gene correlation with singular value decomposition
Several ways of using singular value decomposition (SVD), a linear algebra technique typically used for information retrieval, to decompose problems into subproblems are investiga...
Jacob G. Martin
WECWIS
2005
IEEE
137views ECommerce» more  WECWIS 2005»
13 years 10 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...
ISCAS
2005
IEEE
134views Hardware» more  ISCAS 2005»
13 years 10 months ago
Video shot segmentation using fusion of SVD and mutual information features
— A new method for detecting shot boundaries in video sequences by fusing features obtained by singular value decomposition (SVD) and mutual information (MI) is proposed. The fi...
Zuzana Cernekova, Constantine Kotropoulos, Nikolao...
ICMCS
2005
IEEE
172views Multimedia» more  ICMCS 2005»
13 years 10 months ago
A Study of Synthesizing New Human Motions from Sampled Motions Using Tensor Decomposition
This paper applies an algorithm, based on Tensor Decomposition, to a new synthesis application: by using sampled motions of people of different ages under different emotional stat...
Rovshan Kalanov, Jieun Cho, Jun Ohya