1683 search results - page 56 / 337 » Local Selection |
141
Voted
ICPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Multiple kernel learning (MKL) uses a weighted combination of kernels where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kerne...
90
Voted
ICPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Abstract--We attempt to evaluate the efficacy of six unsupervised evaluation method to tune Sauvola's threshold in optical character recognition (OCR) applications. We propose...
AROBOTS
2008
15 years 2 months ago
2008
This paper addresses the modeling of the static and dynamic parts of the scenario and how to use this information with a sensor-based motion planning system. The contribution in th...
95
Voted
JAIR
2006
15 years 2 months ago
2006
In this paper, we introduce DLS-MC, a new stochastic local search algorithm for the maximum clique problem. DLS-MC alternates between phases of iterative improvement, during which...
127
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NIPS
1994
15 years 3 months ago
1994
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...