779 search results - page 119 / 156 » Multi-Instance Dimensionality Reduction |
113
Voted
CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
100
Voted
ICCV
2007
IEEE
16 years 4 months ago
2007
IEEE
In this paper we propose to transform an image descriptor so that nearest neighbor (NN) search for correspondences becomes the optimal matching strategy under the assumption that ...
108
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ICCV
2007
IEEE
16 years 4 months ago
2007
IEEE
This paper presents a technique for determining an object's shape based on the similarity of radiance changes observed at points on its surface under varying illumination. To...
124
Voted
ICCV
2003
IEEE
16 years 4 months ago
2003
IEEE
We propose modeling images and related visual objects as bags of pixels or sets of vectors. For instance, gray scale images are modeled as a collection or bag of (X, Y, I) pixel v...
120
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ECCV
2002
Springer
16 years 4 months ago
2002
Springer
Abstract. Principal Component Analysis (PCA) is one of the most popular techniques for dimensionality reduction of multivariate data points with application areas covering many bra...