2103 search results - page 153 / 421 » Approximate Learning of Dynamic Models |
149
Voted
ACL
2009
15 years 2 months ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
148
Voted
ICPR
2010
IEEE
15 years 8 months ago
2010
IEEE
This work introduces a new pattern recognition model for segmenting and tracking lip contours in video sequences. We formulate the problem as a general nonrigid object tracking me...
141
click to vote
ICWS
2009
IEEE
16 years 2 months ago
2009
IEEE
Recently, a new generation of adaptive process management technology has emerged, which enables dynamic changes of composite services and process models respectively. This, in tur...
156
click to vote
ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
141
click to vote
ICIAP
2001
Springer
16 years 5 months ago
2001
Springer
We present a method to track and recognize shape-changing hand gestures simultaneously. The switching linear model using active contour model well corresponds to temporal shapes a...