57 search results - page 1 / 12 » Low-Rank Similarity Metric Learning in High Dimensions |
91
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
Several authors have noticed that the common representation of images as vectors is sub-optimal. The process of vectorization eliminates spatial relations between some of the near...
95
Voted
CVPR
2007
IEEE
16 years 2 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 ...
117
Voted
ECML
2006
Springer
15 years 4 months ago
2006
Springer
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
100
click to vote
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...
116
click to vote
PKDD
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. We present a novel approach for classification using a discretised function representation which is independent of the data locations. We construct the classifier as a su...