148 search results - page 23 / 30 » Context-Based Distance Learning for Categorical Data Cluster... |
171
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CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
Many semi-supervised learning algorithms only
deal with binary classification. Their extension to the
multi-class problem is usually obtained by repeatedly
solving a set of bina...
158
Voted
VLSISP
2010
14 years 10 months ago
2010
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
111
Voted
NIPS
2004
15 years 1 months ago
2004
Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...
132
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ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
124
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ISMIS
1997
Springer
15 years 4 months ago
1997
Springer
e about image features can be expressed as a hierarchical structure called a Type Abstraction Hierarchy (TAH). TAHs can be generated automatically by clustering algorithms based on...