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» A comparison of two approaches to pseudorandomness
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TCBB
2010
108views more  TCBB 2010»
14 years 4 months ago
Identification of Full and Partial Class Relevant Genes
Multiclass cancer classification on microarray data has provided the feasibility of cancer diagnosis across all of the common malignancies in parallel. Using multiclass cancer feat...
Zexuan Zhu, Yew-Soon Ong, Jacek M. Zurada
ICC
2008
IEEE
175views Communications» more  ICC 2008»
15 years 4 months ago
Routing in Cooperative Wireless Networks with Mutual-Information Accumulation
Cooperation between the nodes of wireless multihop networks can increase communication reliability, reduce energy consumption, and decrease latency. The possible improvements are ...
Stark C. Draper, Lingjia Liu, Andreas F. Molisch, ...
CVPR
2010
IEEE
15 years 25 days ago
Discriminative K-SVD for Dictionary Learning in Face Recognition
In a sparse-representation-based face recognition scheme, the desired dictionary should have good representational power (i.e., being able to span the subspace of all faces) while...
Qiang Zhang, Baoxin Li
LREC
2008
180views Education» more  LREC 2008»
14 years 11 months ago
Do we Still Need Gold Standards for Evaluation?
The availability of a huge mass of textual data in electronic format has increased the need for fast and accurate techniques for textual data processing. Machine learning and stat...
Thierry Poibeau, Cédric Messiant
BMCBI
2006
146views more  BMCBI 2006»
14 years 9 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...