1419 search results - page 128 / 284 » Approximation Methods for Supervised Learning |
85
Voted
ICCV
2009
IEEE
16 years 5 months ago
2009
IEEE
Supervised learning of a parts-based model can be for-
mulated as an optimization problem with a large (exponen-
tial in the number of parts) set of constraints. We show how
thi...
CVPR
2001
IEEE
16 years 2 months ago
2001
IEEE
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant...
144
Voted
CVPR
2006
IEEE
16 years 2 months ago
2006
IEEE
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
99
Voted
ICPR
2002
IEEE
16 years 1 months ago
2002
IEEE
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
SEMWEB
2009
Springer
15 years 7 months ago
2009
Springer
An important application of semantic web technology is recognizing human-defined concepts in text. Query transformation is a strategy often used in search engines to derive querie...