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» From Algorithmic to Subjective Randomness
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101
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GECCO
2007
Springer
130views Optimization» more  GECCO 2007»
15 years 9 months ago
DCMA: yet another derandomization in covariance-matrix-adaptation
In a preliminary part of this paper, we analyze the necessity of randomness in evolution strategies. We conclude to the necessity of ”continuous”-randomness, but with a much m...
Olivier Teytaud, Sylvain Gelly
CVPR
2005
IEEE
16 years 5 months ago
A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
Qiang Ji, Yang Wang 0002
143
Voted
ICML
2004
IEEE
16 years 4 months ago
Kernel conditional random fields: representation and clique selection
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
John D. Lafferty, Xiaojin Zhu, Yan Liu
117
Voted
IJCAI
1997
15 years 4 months ago
Hidden Gold in Random Generation of SAT Satisfiable Instances
Evaluation of incomplete algorithms that solve SAT requires to generate hard satisfiable instances. For that purpose, the kSAT uniform random generation is not usable. The other g...
Thierry Castell, Michel Cayrol
243
Voted
PR
2011
14 years 6 months ago
Content-based image retrieval with relevance feedback using random walks
In this paper we propose a novel approach to content-based image retrieval with relevance feedback, which is based on the random walker algorithm introduced in the context of inte...
Samuel Rota Bulò, Massimo Rabbi, Marcello P...