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» Chameleon: Hierarchical Clustering Using Dynamic Modeling
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MICCAI
2009
Springer
14 years 10 months ago
Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA)
We propose a novel method for functional segmentation of fMRI data that incorporates multiple functional attributes such as activation effects and functional connectivity, under a ...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeow...
ENDM
2006
77views more  ENDM 2006»
13 years 8 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, ...
GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
13 years 9 months ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...
IJCNN
2000
IEEE
14 years 1 months ago
Predictive Multiple Model Switching Control with the Self-Organizing Map
—A predictive, multiple model control strategy is developed by extension of self-organizing map (SOM) local dynamic modeling of nonlinear autonomous systems to a control framewor...
Mark A. Motter
PAMI
2008
161views more  PAMI 2008»
13 years 8 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...