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» Approximating Component Selection
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112
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GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
15 years 7 months ago
An efficient multi-objective evolutionary algorithm with steady-state replacement model
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
Dipti Srinivasan, Lily Rachmawati
MVA
2007
210views Computer Vision» more  MVA 2007»
15 years 5 months ago
Represent Image Contents Using Curves and Chain Code
This paper presents a new approach to extracting and representing structural features of images. The approach is based on both a region-based analysis and a contour-based analysis...
Pornchai Mongkolnam, Chakarida Nukoolkit, Thanee D...
117
Voted
CSDA
2006
82views more  CSDA 2006»
15 years 3 months ago
Nearest neighbours in least-squares data imputation algorithms with different missing patterns
Methods for imputation of missing data in the so-called least-squares approximation approach, a non-parametric computationally efficient multidimensional technique, are experiment...
Ito Wasito, Boris Mirkin
121
Voted
JMLR
2006
132views more  JMLR 2006»
15 years 3 months ago
Accurate Error Bounds for the Eigenvalues of the Kernel Matrix
The eigenvalues of the kernel matrix play an important role in a number of kernel methods, in particular, in kernel principal component analysis. It is well known that the eigenva...
Mikio L. Braun
166
Voted
CGF
2002
145views more  CGF 2002»
15 years 3 months ago
Local Physical Models for Interactive Character Animation
Our goal is to design and build a tool for the creation of expressive character animation. Virtual puppetry, also known as performance animation, is a technique in which the user ...
Sageev Oore, Demetri Terzopoulos, Geoffrey E. Hint...