273 search results - page 7 / 55 » Learning the Structure of Deep Sparse Graphical Models |
ACL
2010
13 years 6 months ago
2010
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
ICA
2010
Springer
13 years 8 months ago
2010
Springer
SMALLbox is a new foundational framework for processing signals, using adaptive sparse structured representations. The main aim of SMALLbox is to become a test ground for explorati...
ICIG
2009
IEEE
14 years 3 months ago
2009
IEEE
Categorizing multiple objects in images is essentially a structured prediction problem: the label of an object is in general dependent on the labels of other objects in the image....
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
In this paper, we present a graphical model for protein secondary structure prediction. This model extends segmental semi-Markov models (SSMM) to exploit multiple sequence alignme...
ICIP
2010
IEEE
13 years 6 months ago
2010
IEEE
An image representation framework based on structured sparse model selection is introduced in this work. The corresponding modeling dictionary is comprised of a family of learned ...