4930 search results - page 184 / 986 » Learning minimal abstractions |
164
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CVPR
2010
IEEE
16 years 3 months ago
2010
IEEE
Recent studies have shown that machine learning can improve the accuracy of detecting object boundaries in images. In the standard approach, a boundary detector is trained by mini...
183
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DAGM
2009
Springer
16 years 1 months ago
2009
Springer
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
162
Voted
EUROGP
2009
Springer
16 years 1 months ago
2009
Springer
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in GP from the perspec...
176
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GECCO
2007
Springer
16 years 21 days ago
2007
Springer
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
173
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CVPR
2005
IEEE
16 years 5 days ago
2005
IEEE
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...