396 search results - page 27 / 80 » Lossy Reduction for Very High Dimensional Data |
ACMACE
2008
ACM
15 years 1 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...
175
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SIGMOD
2006
ACM
15 years 12 months ago
2006
ACM
Given a d-dimensional data set, a point p dominates another point q if it is better than or equal to q in all dimensions and better than q in at least one dimension. A point is a ...
CIVR
2003
Springer
15 years 5 months ago
2003
Springer
Feature selection for video retrieval applications is impractical with existing techniques, because of their high time complexity and their failure on the relatively sparse trainin...
CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Tensor based dimensionality reduction has recently been extensively studied for computer vision applications. To our knowledge, however, there exist no rigorous error analysis on ...
112
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AMDO
2006
Springer
15 years 3 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...