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» Lossy Reduction for Very High Dimensional Data
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IBPRIA
2009
Springer
15 years 1 months ago
Textural Features for Hyperspectral Pixel Classification
Hyperspectral remote sensing provides data in large amounts from a wide range of wavelengths in the spectrum and the possibility of distinguish subtle differences in the image. For...
Olga Rajadell, Pedro García-Sevilla, Filibe...
76
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BMCBI
2010
107views more  BMCBI 2010»
14 years 9 months ago
Conditional random pattern model for copy number aberration detection
Background: DNA copy number aberration (CNA) is very important in the pathogenesis of tumors and other diseases. For example, CNAs may result in suppression of anti-oncogenes and ...
Fuhai Li, Xiaobo Zhou, Wanting Huang, Chung-Che Ch...
ICML
2000
IEEE
15 years 10 months ago
On-line Learning for Humanoid Robot Systems
Humanoid robots are high-dimensional movement systems for which analytical system identification and control methods are insufficient due to unknown nonlinearities in the system s...
Gaurav Tevatia, Jörg Conradt, Sethu Vijayakum...
BMCBI
2008
147views more  BMCBI 2008»
14 years 9 months ago
Transmembrane helix prediction using amino acid property features and latent semantic analysis
Background: Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient training data. Current best methods use hundreds or even thousands of f...
Madhavi Ganapathiraju, Narayanas Balakrishnan, Raj...
JSA
2006
167views more  JSA 2006»
14 years 9 months ago
Pattern-driven prefetching for multimedia applications on embedded processors
Multimedia applications in general and video processing, such as the MPEG4 Visual stream decoders, in particular are increasingly popular and important workloads for future embedd...
Hassan Sbeyti, Smaïl Niar, Lieven Eeckhout