159 search results - page 5 / 32 » Boosting margin based distance functions for clustering |
152
Voted
FLAIRS
2001
15 years 7 months ago
2001
The paper presents an approach to hierarchical clustering based on the use of a least general generalization (lgg) operator to induce a lattice structure of clusters and a categor...
141
Voted
CSB
2005
IEEE
15 years 11 months ago
2005
IEEE
With hierarchical clustering methods, divisions or fusions, once made, are irrevocable. As a result, when two elements in a bottom-up algorithm are assigned to one cluster, they c...
135
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ICML
2008
IEEE
16 years 6 months ago
2008
IEEE
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
202
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CVPR
2009
IEEE
17 years 24 days ago
2009
IEEE
Feature selection plays a fundamental role in many pattern
recognition problems. However, most efforts have been
focused on the supervised scenario, while unsupervised feature
s...
159
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ECCV
2008
Springer
16 years 7 months ago
2008
Springer
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...