1859 search results - page 39 / 372 » Using Problems to Learn Service-Oriented Computing |
107
Voted
NIPS
1993
15 years 4 months ago
1993
We consider the problem of how the CNS learns to control dynamics of a mechanical system. By using a paradigm where a subject's hand interacts with a virtual mechanical envir...
157
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
224
Voted
NAACL
2010
15 years 16 days ago
2010
This paper proposes a general learning framework for a class of problems that require learning over latent intermediate representations. Many natural language processing (NLP) dec...
135
Voted
ICCV
2007
IEEE
15 years 9 months ago
2007
IEEE
We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a category o...
122
Voted
CVPR
2006
IEEE
16 years 4 months ago
2006
IEEE
Multi-camera tracking systems often must maintain consistent identity labels of the targets across views to recover 3D trajectories and fully take advantage of the additional info...