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212
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INFORMS
1998
15 years 7 months ago
1998
The problem of discriminating between two nite point sets in n-dimensional feature space by a separating plane that utilizes as few of the features as possible, is formulated as a...
227
Voted
ICCV
2009
IEEE
17 years 17 days ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
192
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CVPR
2007
IEEE
16 years 9 months ago
2007
IEEE
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
199
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CVPR
2008
IEEE
2008
IEEE
Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut
16 years 9 months ago
This paper proposes a novel approach to discover a set of class specific "composite features" as the feature pool for the detection and classification of complex objects...
228
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CVPR
2008
IEEE
16 years 9 months ago
2008
IEEE
Joint data alignment is often regarded as a data simplification process. This idea is powerful and general, but raises two delicate issues. First, one must make sure that the usef...