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» On the Learnability of Vector Spaces
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DCOSS
2006
Springer
14 years 5 days ago
Evaluating Local Contributions to Global Performance in Wireless Sensor and Actuator Networks
Wireless sensor networks are often studied with the goal of removing information from the network as efficiently as possible. However, when the application also includes an actuato...
Christopher J. Rozell, Don H. Johnson
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
14 years 4 days ago
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
Yunpeng Cai, Xiaomin Sun, Peifa Jia
AVBPA
2003
Springer
133views Biometrics» more  AVBPA 2003»
14 years 4 days ago
LUT-Based Adaboost for Gender Classification
There are two main approaches to the problem of gender classification, Support Vector Machines (SVMs) and Adaboost learning methods, of which SVMs are better in correct rate but ar...
Bo Wu, Haizhou Ai, Chang Huang
HYBRID
2000
Springer
14 years 2 days ago
Towards Procedures for Systematically Deriving Hybrid Models of Complex Systems
Abstract. In many cases, complex system behaviors are naturally modeled as nonlinear differential equations. However, these equations are often hard to analyze because of "sti...
Pieter J. Mosterman, Gautam Biswas
ICCV
1995
IEEE
14 years 1 days ago
Object Indexing Using an Iconic Sparse Distributed Memory
A general-purpose object indexingtechnique is described that combines the virtues of principal component analysis with the favorable matching properties of high-dimensional spaces...
Rajesh P. N. Rao, Dana H. Ballard