2903 search results - page 265 / 581 » The Dark Side of Object Learning: Learning Objects |
134
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ICMCS
2009
IEEE
15 years 2 months ago
2009
IEEE
We consider the problem of classification of multiple observations of the same object, possibly under different transformations. We view this problem as a special case of semi-sup...
142
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ICCV
2009
IEEE
16 years 9 months ago
2009
IEEE
Skeletonization algorithms typically decompose an object’s
silhouette into a set of symmetric parts, offering a
powerful representation for shape categorization. However,
havi...
133
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ICML
2003
IEEE
16 years 5 months ago
2003
IEEE
When the goal is to achieve the best correct classification rate, cross entropy and mean squared error are typical cost functions used to optimize classifier performance. However,...
140
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ICCV
2003
IEEE
15 years 9 months ago
2003
IEEE
Conventional tracking approaches assume proximity in space, time and appearance of objects in successive observations. However, observations of objects are often widely separated ...
147
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ECCV
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. Domain adaptation is an important emerging topic in computer vision. In this paper, we present one of the first studies of domain shift in the context of object recogniti...