399 search results - page 37 / 80 » Robust Boosting for Learning from Few Examples |
CCCG
2010
14 years 7 months ago
2010
Various notions of coverage provided by wireless sensor networks have attracted considerable attention over the past few years. In general, coverage can be expressed geometrically...
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
Kernel functions are often cited as a mechanism to encode prior knowledge of a learning task. But it can be difficult to capture prior knowledge effectively. For example, we know ...
CVPR
1997
IEEE
15 years 11 months ago
1997
IEEE
A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that ar...
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ECIR
2009
Springer
14 years 7 months ago
2009
Springer
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...
IJCV
2008
14 years 9 months ago
2008
This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world scenes. Our approach considers object categorization and figure...