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CVPR
2009
IEEE
16 years 1 months ago
Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
Wonsik Kim (Seoul National University), Kyoung Mu ...
ICIP
2003
IEEE
16 years 4 months ago
Sequential Monte Carlo video text segmentation
This paper presents a probabilistic algorithm for segmenting and recognizing text embedded in video sequences. The algorithm approximates the posterior distribution of segmentatio...
Datong Chen, Jean-Marc Odobez
GECCO
2010
Springer
194views Optimization» more  GECCO 2010»
15 years 7 months ago
Mirrored variants of the (1, 2)-CMA-ES compared on the noisy BBOB-2010 testbed
Derandomization by means of mirrored samples has been recently introduced to enhance the performances of (1, λ) and (1 + 2) Evolution-Strategies (ESs) with the aim of designing f...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
CN
2006
74views more  CN 2006»
15 years 3 months ago
Measurement-based optimal routing on overlay architectures for unicast sessions
We propose a measurement-based routing algorithm to load-balance intradomain traffic along multiple paths for multiple unicast sources. Multiple paths are established using overla...
Tuna Güven, Richard J. La, Mark A. Shayman, B...
DRR
2010
15 years 5 months ago
Time and space optimization of document content classifiers
Scaling up document-image classifiers to handle an unlimited variety of document and image types poses serious challenges to conventional trainable classifier technologies. Highly...
Dawei Yin, Henry S. Baird, Chang An