1512 search results - page 79 / 303 » Inference Algorithms for Similarity Networks |
131
click to vote
CIVR
2009
Springer
15 years 9 months ago
2009
Springer
To support more effective searches in large-scale weaklytagged image collections, we have developed a novel algorithm to integrate both the visual similarity contexts between the...
139
click to vote
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
161
click to vote
CORR
2012
Springer
13 years 11 months ago
2012
Springer
The key limiting factor in graphical model inference and learning is the complexity of the partition function. We thus ask the question: what are the most general conditions under...
128
click to vote
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
161
click to vote
HYBRID
2000
Springer
15 years 6 months ago
2000
Springer
Abstract. Switching linear dynamic systems (SLDS) attempt to describe a complex nonlinear dynamic system with a succession of linear models indexed by a switching variable. Unfortu...