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» On the Optimality of the Dimensionality Reduction Method
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CGF
2008
129views more  CGF 2008»
15 years 6 months ago
Sequential Monte Carlo Adaptation in Low-Anisotropy Participating Media
This paper presents a novel method that effectively combines both control variates and importance sampling in a sequential Monte Carlo context. The radiance estimates computed dur...
Vincent Pegoraro, Ingo Wald, Steven G. Parker
BMCBI
2005
80views more  BMCBI 2005»
15 years 6 months ago
Sample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm
Background: Life processes are determined by the organism's genetic profile and multiple environmental variables. However the interaction between these factors is inherently ...
Kevin Dawson, Raymond L. Rodriguez, Wasyl Malyj
NN
2002
Springer
226views Neural Networks» more  NN 2002»
15 years 6 months ago
Data visualisation and manifold mapping using the ViSOM
The self-organising map (SOM) has been successfully employed as a nonparametric method for dimensionality reduction and data visualisation. However, for visualisation the SOM requ...
Hujun Yin
BMVC
2010
15 years 4 months ago
Histogram of Body Poses and Spectral Regression Discriminant Analysis for Human Action Categorization
This paper explores a recently proposed and rarely reported subspace learning method, Spectral Regression Discriminant Analysis (SRDA) [1, 2], on silhouette based human action rec...
Ling Shao, Xiuli Chen
ICDAR
2003
IEEE
15 years 11 months ago
A Matching Scheme to Enhance Performance Evaluation of Raster-to-Vector Conversion Algorithms
This paper deals with performance evaluation of rasterto-vector conversion algorithms. We briefly review the past work, and focus our attention on a method proposed by Phillips a...
Xavier Hilaire