31 search results - page 4 / 7 » Semi-Supervised Distance Metric Learning by Quadratic Progra... |
JMLR
2012
11 years 10 months ago
2012
Support Vector Machines, SVMs, and the Large Margin Nearest Neighbor algorithm, LMNN, are two very popular learning algorithms with quite different learning biases. In this paper...
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
As an alternative to vector representations, a recent trend in image classification suggests to integrate additional structural information in the description of images in order to...
COMPGEOM
2011
ACM
12 years 11 months ago
2011
ACM
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
MMS
2006
13 years 7 months ago
2006
In content-based image retrieval (CBIR), relevant images are identified based on their similarities to query images. Most CBIR algorithms are hindered by the semantic gap between ...
ALT
2003
Springer
13 years 11 months ago
2003
Springer
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...