103 search results - page 4 / 21 » Local and Global Comparison of Continuous Functions |
162
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WSC
1997
15 years 4 months ago
1997
In this paper we compare the average performance of Monte Carlo methods for global optimization with non-adaptive deterministic alternatives. We analyze the behavior of the algori...
148
Voted
NIPS
2001
15 years 4 months ago
2001
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
161
Voted
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
In this paper, we introduce a novel algorithm to solve
global shape registration problems. We use gray-scale “images”
to represent source shapes, and propose a novel twocompo...
118
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
136
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JOTA
2011
14 years 10 months ago
2011
: Nowadays, solving nonsmooth (not necessarily differentiable) optimization problems plays a very important role in many areas of industrial applications. Most of the algorithms d...