326 search results - page 35 / 66 » Version Space Support Vector Machines |
116
Voted
CORR
2008
Springer
15 years 2 months ago
2008
Springer
Maximum Variance Unfolding (MVU) and its variants have been very successful in embedding data-manifolds in lower dimensionality spaces, often revealing the true intrinsic dimensio...
136
Voted
COMPGEOM
2009
ACM
15 years 9 months ago
2009
ACM
Following recent work of Clarkson, we translate the coreset framework to the problems of finding the point closest to the origin inside a polytope, finding the shortest distance...
142
Voted
ICIP
2010
IEEE
15 years 21 days ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
154
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JMLR
2002
15 years 2 months ago
2002
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
152
Voted
ICDM
2009
IEEE
15 years 15 days ago
2009
IEEE
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...