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TEC
2002
133views more  TEC 2002»
15 years 6 months ago
Learning and optimization using the clonal selection principle
The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
Leandro Nunes de Castro, Fernando J. Von Zuben
VLSISP
2002
123views more  VLSISP 2002»
15 years 6 months ago
Monte Carlo Bayesian Signal Processing for Wireless Communications
Abstract. Many statistical signal processing problems found in wireless communications involves making inference about the transmitted information data based on the received signal...
Xiaodong Wang, Rong Chen, Jun S. Liu
NCA
2007
IEEE
15 years 6 months ago
Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs
Designing drugs is a current problem in the pharmaceutical research. By designing a drug we mean to choose some variables of drug formulation (inputs), for obtaining optimal charac...
Ajith Abraham, Crina Grosan, Stefan Tigan
CVPR
2010
IEEE
15 years 5 months ago
Cost-Sensitive Subspace Learning for Face Recognition
Conventional subspace learning-based face recognition aims to attain low recognition errors and assumes same loss from all misclassifications. In many real-world face recognition...
Jiwen Lu, Tan Yap-Peng
DGCI
2005
Springer
16 years 3 days ago
Algorithms for the Topological Watershed
The watershed transformation is an efficient tool for segmenting grayscale images. An original approach to the watershed [1,9] consists in modifying the original image by lowering...
Michel Couprie, Laurent Najman, Gilles Bertrand