743 search results - page 97 / 149 » Solving the Multiple-Instance Problem: A Lazy Learning Appro... |
143
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ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
We consider the problem of optimizing multilabel MRFs, which is in general NP-hard and ubiquitous in low-level computer vision. One approach for its solution is to formulate it as...
103
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ICML
2004
IEEE
16 years 2 months ago
2004
IEEE
Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. There are...
160
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ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
Many unsupervised algorithms for nonlinear dimensionality reduction, such as locally linear embedding (LLE) and Laplacian eigenmaps, are derived from the spectral decompositions o...
136
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IAT
2003
IEEE
15 years 7 months ago
2003
IEEE
This work describes a multi-agent architecture and strategy for trade in simultaneous and related auctions. The proposed SIMPLE Agency combines an integer programming model, machi...
108
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GECCO
2006
Springer
15 years 5 months ago
2006
Springer
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...