Sciweavers

139 search results - page 16 / 28
» Recovering Data Models via Guarded Dependences
Sort
View
NIPS
1997
13 years 9 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
NN
2002
Springer
125views Neural Networks» more  NN 2002»
13 years 7 months ago
Neuromodulation of decision and response selection
We present a model for the attentional neuromodulation of decision and selection processes. The model assumes that phasic responses in the brain nucleus Locus Coeruleus modulate, ...
Marius Usher, Eddy J. Davelaar
3DPVT
2006
IEEE
259views Visualization» more  3DPVT 2006»
14 years 1 months ago
3D Skeleton-Based Body Pose Recovery
This paper presents an approach to recover body motions from multiple views using a 3D skeletal model. It takes, as input, foreground silhouette sequences from multiple viewpoints...
Clément Ménier, Edmond Boyer, Bruno ...
ICPR
2006
IEEE
14 years 8 months ago
Style Quantification of Scanned Multi-source Digits
The co-occurring patterns in a group carrying the traits of common origin are statistically dependent via an underlying style context. Exploiting style consistency in groups of pa...
George Nagy, Xiaoli Zhang
ICASSP
2011
IEEE
12 years 11 months ago
Investigation of acoustic units for LVCSR systems
One important issue in designing state-of-the-art LVCSR systems is the choice of acoustic units. Context dependent (CD) phones remain the dominant form of acoustic units. They can...
Xunying Liu, Mark John Francis Gales, Jim L. Hiero...