791 search results - page 51 / 159 » Non-Linear Dimensionality Reduction |
178
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WACV
2012
IEEE
14 years 20 hour ago
2012
IEEE
We present a novel algorithm, Compact Kd-Trees (CompactKdt), that achieves state-of-the-art performance in searching large scale object image collections. The algorithm uses an or...
171
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ICDE
2012
IEEE
13 years 7 months ago
2012
IEEE
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
133
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ACMACE
2008
ACM
15 years 6 months ago
2008
ACM
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
159
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NIPS
1998
15 years 5 months ago
1998
The task in text retrieval is to find the subset of a collection of documents relevant to a user's information request, usually expressed as a set of words. Classically, docu...
162
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AMDO
2006
Springer
15 years 8 months ago
2006
Springer
Abstract. We propose motion manifold learning and motion primitive segmentation framework for human motion synthesis from motion-captured data. High dimensional motion capture date...