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» On the expected value of the minimum assignment
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CVPR
2012
IEEE
11 years 8 months ago
A tiered move-making algorithm for general pairwise MRFs
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
KDD
2001
ACM
118views Data Mining» more  KDD 2001»
14 years 6 months ago
Infominer: mining surprising periodic patterns
In this paper, we focus on mining surprising periodic patterns in a sequence of events. In many applications, e.g., computational biology, an infrequent pattern is still considere...
Jiong Yang, Wei Wang 0010, Philip S. Yu
ECCV
1998
Springer
13 years 10 months ago
Stereo Vision-Based Navigation in Unknown Indoor Environment
Different applications in the field of vision-based navigation of autonomous mobile robots depend on the degree of knowledge of the environment. Indoor environment applications oft...
Oliver Schreer
CEC
2011
IEEE
12 years 6 months ago
Stochastic Natural Gradient Descent by estimation of empirical covariances
—Stochastic relaxation aims at finding the minimum of a fitness function by identifying a proper sequence of distributions, in a given model, that minimize the expected value o...
Luigi Malagò, Matteo Matteucci, Giovanni Pi...
CEC
2007
IEEE
14 years 11 days ago
MRI brain image segmentation by fuzzy symmetry based genetic clustering technique
—In this paper, an automatic segmentation technique of multispectral magnetic resonance image of the brain using a new fuzzy point symmetry based genetic clustering technique is ...
Sriparna Saha, Sanghamitra Bandyopadhyay