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BMCBI
2006
140views more  BMCBI 2006»
13 years 9 months ago
Feature selection using Haar wavelet power spectrum
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
Prabakaran Subramani, Rajendra Sahu, Shekhar Verma
JUCS
2008
130views more  JUCS 2008»
13 years 9 months ago
Experimenting the Automated Selection of COTS Components Based on Cost and System Requirements
: In a component-based development process the selection of components is an activity that takes place over multiple lifecycle phases that span from requirement specifications thro...
Vittorio Cortellessa, Ivica Crnkovic, Fabrizio Mar...
BMCBI
2011
13 years 3 months ago
A theoretical entropy score as a single value to express inhibitor selectivity
Background: Designing maximally selective ligands that act on individual targets is the dominant paradigm in drug discovery. Poor selectivity can underlie toxicity and side effect...
Joost C. M. Uitdehaag, Guido J. R. Zaman
ICCV
2003
IEEE
14 years 11 months ago
Entropy-of-likelihood Feature Selection for Image Correspondence
Feature points for image correspondence are often selected according to subjective criteria (e.g. edge density, nostrils). In this paper, we present a general, non-subjective crit...
Matthew Toews, Tal Arbel
ICIP
2008
IEEE
14 years 10 months ago
Dynamic channel selection for multi-user video streaming over cognitive radio networks
Due to the dynamic nature of cognitive radio networks, multi-user video streaming (with various video traffic characteristics and QoS requirements) requires efficient dynamic chan...
Hsien-Po Shiang, Mihaela van der Schaar