79 search results - page 10 / 16 » Structure Learning with Nonparametric Decomposable Models |
JMLR
2008
13 years 7 months ago
2008
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
NIPS
2001
13 years 9 months ago
2001
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
EMMCVPR
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. We present an algorithm for automatically constructing a decompositional shape model from examples. Unlike current approaches to structural model acquisition, in which on...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
We present a new method for classification with structured
latent variables. Our model is formulated using the
max-margin formalism in the discriminative learning literature.
We...