373 search results - page 18 / 75 » Learning Probabilistic Relational Dynamics for Multiple Task... |
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...
JAIR
2000
13 years 7 months ago
2000
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. These semantic concepts do not exist in isolatio...
COLT
2006
Springer
13 years 11 months ago
2006
Springer
We study the problem of online learning of multiple tasks in parallel. On each online round, the algorithm receives an instance and makes a prediction for each one of the parallel ...