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113
Voted
ICANN
2007
Springer
15 years 10 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...
162
Voted
ECML
1993
Springer
15 years 7 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...
133
Voted
COLT
2003
Springer
15 years 9 months 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. ...
155
Voted
CVPR
2010
IEEE
15 years 10 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...
152
Voted
SOFSEM
2007
Springer
15 years 10 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...