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» Approximations in Distributed Optimization
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GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
16 years 1 months ago
Distributed genetic algorithm for subtraction radiography
Digital subtraction is a promising technique used in radiographic studies of periapical lesions and other dental disorders for which the treatment must be evaluated over time. Thi...
Gabriel Mañana, Fabio A. González, E...
IPMI
2007
Springer
16 years 8 months ago
Shape Modeling and Analysis with Entropy-Based Particle Systems
This paper presents a new method for constructing compact statistical point-based models of ensembles of similar shapes that does not rely on any specific surface parameterization....
Joshua E. Cates, P. Thomas Fletcher, Martin Andrea...
ICML
2005
IEEE
16 years 8 months ago
Linear Asymmetric Classifier for cascade detectors
The detection of faces in images is fundamentally a rare event detection problem. Cascade classifiers provide an efficient computational solution, by leveraging the asymmetry in t...
Jianxin Wu, Matthew D. Mullin, James M. Rehg
KDD
2005
ACM
166views Data Mining» more  KDD 2005»
16 years 8 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
HPCA
2006
IEEE
16 years 8 months ago
Construction and use of linear regression models for processor performance analysis
Processor architects have a challenging task of evaluating a large design space consisting of several interacting parameters and optimizations. In order to assist architects in ma...
P. J. Joseph, Kapil Vaswani, Matthew J. Thazhuthav...