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» Feature Selection in Clustering Problems
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BMCBI
2008
118views more  BMCBI 2008»
13 years 10 months ago
DOVIS: an implementation for high-throughput virtual screening using AutoDock
Background: Molecular-docking-based virtual screening is an important tool in drug discovery that is used to significantly reduce the number of possible chemical compounds to be i...
Shuxing Zhang, Kamal Kumar, Xiaohui Jiang, Anders ...
DATE
2004
IEEE
122views Hardware» more  DATE 2004»
14 years 1 months ago
Phase Coupled Code Generation for DSPs Using a Genetic Algorithm
The growing use of digital signal processors (DSPs) in embedded systems necessitates the use of optimizing compilers supporting special hardware features. Due to the irregular arc...
Markus Lorenz, Peter Marwedel
KDD
2003
ACM
109views Data Mining» more  KDD 2003»
14 years 10 months ago
Experimental design for solicitation campaigns
Data mining techniques are routinely used by fundraisers to select those prospects from a large pool of candidates who are most likely to make a financial contribution. These tech...
Uwe F. Mayer, Armand Sarkissian
ICIP
2004
IEEE
14 years 11 months ago
Efficient face orientation discrimination
This paper presents efficient methods to address the problem of discriminating between five facial orientations. We present the most efficient methods for this task to date, which...
Shumeet Baluja, Mehran Sahami, Henry A. Rowley
WSOM
2009
Springer
14 years 4 months ago
Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ
Vector quantization methods are confronted with a model selection problem, namely the number of prototypical feature representatives to model each class. In this paper we present a...
Alexander Denecke, Heiko Wersing, Jochen J. Steil,...