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» Hybrid Optimizations: Which Optimization Algorithm to Use
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JMLR
2010
129views more  JMLR 2010»
14 years 10 months ago
Learning Polyhedral Classifiers Using Logistic Function
In this paper we propose a new algorithm for learning polyhedral classifiers. In contrast to existing methods for learning polyhedral classifier which solve a constrained optimiza...
Naresh Manwani, P. S. Sastry
ICMCS
2006
IEEE
155views Multimedia» more  ICMCS 2006»
15 years 10 months ago
Region-Based Image Retrieval using Radial Basis Function Network
This paper presents a new framework that integrates relevance feedback into region-based image retrieval (RBIR) systems based on radial basis function network (RBFN). A modified u...
Kui Wu, Kim-Hui Yap, Lap-Pui Chau
GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
15 years 9 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...
ISCAS
1994
IEEE
131views Hardware» more  ISCAS 1994»
15 years 8 months ago
An Efficient Design Method for Optimal Weighted Median Filtering
Earlier research has shown that the problem of optimal weighted median filtering with structural constraints can be formulated as a nonconvex nonlinear programming problem in gene...
Ruikang Yang, Moncef Gabbouj, Yrjö Neuvo
135
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SIAMJO
2011
14 years 11 months ago
A Unifying Polyhedral Approximation Framework for Convex Optimization
Abstract. We propose a unifying framework for polyhedral approximation in convex optimization. It subsumes classical methods, such as cutting plane and simplicial decomposition, bu...
Dimitri P. Bertsekas, Huizhen Yu