4930 search results - page 125 / 986 » Learning minimal abstractions |
99
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
96
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
Quite a bit is known about minimizing different kinds of regret in experts problems, and how these regret types relate to types of equilibria in the multiagent setting of repeated...
147
Voted
CIVR
2008
Springer
15 years 2 months ago
2008
Springer
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
137
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JMLR
2012
13 years 3 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
87
Voted
ECCV
2008
Springer
16 years 2 months ago
2008
Springer
As computer vision research considers more object categories and greater variation within object categories, it is clear that larger and more exhaustive datasets are necessary. How...