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» Approximating Component Selection
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CVPR
2006
IEEE
14 years 9 months ago
Escaping local minima through hierarchical model selection: Automatic object discovery, segmentation, and tracking in video
Recently, the generative modeling approach to video segmentation has been gaining popularity in the computer vision community. For example, the flexible sprites framework has been...
Nebojsa Jojic, John M. Winn, Larry Zitnick
JMLR
2012
11 years 9 months ago
Factorized Asymptotic Bayesian Inference for Mixture Modeling
This paper proposes a novel Bayesian approximation inference method for mixture modeling. Our key idea is to factorize marginal log-likelihood using a variational distribution ove...
Ryohei Fujimaki, Satoshi Morinaga
GECCO
2010
Springer
254views Optimization» more  GECCO 2010»
14 years 6 days ago
Evolutionary multi-objective optimization and decision making for selective laser sintering
This paper proposes an integrated approach to arrive at optimal build orientations, simultaneously minimizing surface roughness ‘Ra’ and build time ‘T’, for object manufac...
Nikhil Padhye, Kalyanmoy Deb
TCOM
2010
67views more  TCOM 2010»
13 years 5 months ago
Receive antenna selection for unitary space-time modulation over semi-correlated Ricean channels
—Receive antenna selection for unitary space-time modulation (USTM) over semi-correlated Ricean fading channels is analyzed (this work generalizes that of Ma and Tepedelenlio˘gl...
Mahdi Ramezani, Mahdi Hajiaghayi, Chintha Tellambu...
APSEC
2003
IEEE
14 years 21 days ago
Selecting Components: a Process for Context-Driven Evaluation
This paper describes a process for selecting and evaluating candidates for component based software engineering. The process is aimed at developers sourcing components from third ...
Valerie Maxville, Chiou Peng Lam, Jocelyn Armarego