403 search results - page 51 / 81 » Metric and Kernel Learning Using a Linear Transformation |
142
Voted
IJCV
1998
15 years 1 months ago
1998
Many computer and robot vision applications require multi-scale image analysis. Classically, this has been accomplished through the use of a linear scale-space, which is constructe...
120
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ICCV
2007
IEEE
16 years 3 months ago
2007
IEEE
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
112
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ML
2008
ACM
15 years 1 months ago
2008
ACM
Abstract We present a new margin-based approach to first-order rule learning. The approach addresses many of the prominent challenges in first-order rule learning, such as the comp...
118
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BIOSYSTEMS
2008
15 years 2 months ago
2008
The responses of cortical neurons are often characterized by measuring their spectro-temporal receptive fields (strfs). The strf of a cell can be thought of as a representation of...
113
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ICRA
2008
IEEE
15 years 8 months ago
2008
IEEE
Abstract— Learning inverse kinematics has long been fascinating the robot learning community. While humans acquire this transformation to complicated tool spaces with ease, it is...