41 search results - page 1 / 9 » Learning to Recognize Complex Actions Using Conditional Rand... |
ISVC
2007
Springer
13 years 10 months ago
2007
Springer
Surveillance systems that operate continuously generate large volumes of data. One such system is described here, continuously tracking and storing observations taken from multiple...
CVPR
2009
IEEE
14 years 11 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...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
PAMI
2008
13 years 4 months ago
2008
Abstract-- Extending traditional models for discriminative labeling of structured data to include higher-order structure in the labels results in an undesirable exponential increas...
INTERSPEECH
2010
12 years 11 months ago
2010
We extend our earlier work on deep-structured conditional random field (DCRF) and develop deep-structured hidden conditional random field (DHCRF). We investigate the use of this n...