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» Evolutionary Computation for Modeling and Optimization
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WACV
2005
IEEE
16 years 15 days ago
A Model-Based Interactive Object Segmentation Procedure
A global parametric shape model (boundary) of the object is optimized according to evidence accumulated from local features and the prior probability of the model parameters learn...
Jie Zou
AUSDM
2006
Springer
102views Data Mining» more  AUSDM 2006»
15 years 10 months ago
Weighted Kernel Model For Text Categorization
Traditional bag-of-words model and recent wordsequence kernel are two well-known techniques in the field of text categorization. Bag-of-words representation neglects the word orde...
Lei Zhang, Debbie Zhang, Simeon J. Simoff, John K....
NIPS
2007
15 years 8 months ago
On Sparsity and Overcompleteness in Image Models
Computational models of visual cortex, and in particular those based on sparse coding, have enjoyed much recent attention. Despite this currency, the question of how sparse or how...
Pietro Berkes, Richard Turner, Maneesh Sahani
ICASSP
2010
IEEE
15 years 7 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
ENDM
2006
77views more  ENDM 2006»
15 years 7 months ago
A Two-stage Model for a Day-ahead Paratransit Planning Problem
We consider a dynamic planning problem for paratransit transportation. The focus is on a decision to take one day ahead: which requests to serve with own vehicles, and which reque...
Maria L. A. G. Cremers, Willem K. Klein Haneveld, ...