2082 search results - page 91 / 417 » Using model knowledge for learning inverse dynamics |
155
Voted
PAMI
2012
13 years 5 months ago
2012
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
142
Voted
BMCBI
2010
15 years 2 months ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
128
Voted
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
We consider the task of under-determined reverberant audio source separation. We model the contribution of each source to all mixture channels in the time-frequency domain as a ze...
111
Voted
PR
2007
15 years 2 months ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
153
click to vote
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
The aim of this work is to learn a shape prior model
for an object class and to improve shape matching with the
learned shape prior. Given images of example instances,
we can le...