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» Dimensionality Reduction with Image Data
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IDEAL
2004
Springer
15 years 3 months ago
Visualisation of Distributions and Clusters Using ViSOMs on Gene Expression Data
Microarray datasets are often too large to visualise due to the high dimensionality. The self-organising map has been found useful to analyse massive complex datasets. It can be us...
Swapna Sarvesvaran, Hujun Yin
SSPR
2004
Springer
15 years 3 months ago
An MCMC Feature Selection Technique for Characterizing and Classifying Spatial Region Data
We focus on characterizing spatial region data when distinct classes of structural patterns are present. We propose a novel statistical approach based on a supervised framework for...
Despina Kontos, Vasileios Megalooikonomou, Marc J....
PAMI
1998
84views more  PAMI 1998»
14 years 9 months ago
Intrinsic Dimensionality Estimation With Optimally Topology Preserving Maps
A new method for analyzing the intrinsic dimensionality (ID) of low dimensional manifolds in high dimensional feature spaces is presented. The basic idea is to rst extract a low-d...
Jörg Bruske, Gerald Sommer
ICCCN
2007
IEEE
15 years 4 months ago
Reduction of Frame Memory Accesses and Motion Estimation Computations in MPEG Video Encoder
—This paper presents an approach that reuses data stored in the frame memory and in the motion estimation (ME) internal buffer to avoid unnecessary memory accesses and redundant ...
Wei-Cheng Lin, Chung-Ho Chen
IWANN
2005
Springer
15 years 3 months ago
Heuristic Search over a Ranking for Feature Selection
In this work, we suggest a new feature selection technique that lets us use the wrapper approach for finding a well suited feature set for distinguishing experiment classes in hig...
Roberto Ruiz, José Cristóbal Riquelm...