1454 search results - page 194 / 291 » On High Dimensional Skylines |
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
Pattern variation is a major factor that affects the performance of recognition systems. In this paper, a novel manifold tangent modeling method called Discriminant Additive Tange...
101
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CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
We introduce a method that enables scalable image search for learned metrics. Given pairwise similarity and dissimilarity constraints between some images, we learn a Mahalanobis d...
80
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CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
Learning a discriminant becomes substantially more difficult when the datasets are high-dimensional and the available samples are few. This is often the case in computer vision an...
106
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CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
Given a finite number of data points sampled from a low-dimensional manifold embedded in a high dimensional space together with the parameter vectors for a subset of the data poin...
105
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
The earth mover's distance (EMD) [16] is an important perceptually meaningful metric for comparing histograms, but it suffers from high (O(N3 log N)) computational complexity...