5771 search results - page 18 / 1155 » Learning similarity space |
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
In the field of computer vision feature matching in high dimensional feature spaces is a commonly used technique for object recognition. One major problem is to find an adequate s...
ECML
1993
Springer
13 years 11 months ago
1993
Springer
This paper describes a genetic learning system called SIA, which learns attributes based rules from a set of preclassified examples. Examples may be described with a variable numbe...
COLT
2003
Springer
14 years 26 days ago
2003
Springer
Abstract. We study the problem of learning partitions using equivalence constraints as input. This is a binary classification problem in the product space of pairs of datapoints. ...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Local features have proven very useful for recognition.
Manifold learning has proven to be a very powerful tool in
data analysis. However, manifold learning application for
imag...
SOFSEM
2007
Springer
14 years 1 months ago
2007
Springer
Similarity search is a fundamental operation for applications that deal with unstructured data sources. In this paper we propose a new pivot-based method for similarity search, ca...