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NIPS
1997
13 years 8 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
HUC
2003
Springer
14 years 20 days ago
Evaluation of Visual Notification Cues for Ubiquitous Computing
With increased use of mobile information technology and increased amounts of information comes the need to simplify information presentation. This research considers whether low-in...
Peter Tarasewich, Christopher S. Campbell, Tian Xi...
CVPR
2007
IEEE
14 years 9 months ago
Efficient MRF Deformation Model for Non-Rigid Image Matching
We propose a novel MRF-based model for deformable image matching (also known as registration). The deformation is described by a field of discrete variables, representing displace...
Alexander Shekhovtsov, Ivan Kovtun, Václav ...
COMPLEXITY
2007
116views more  COMPLEXITY 2007»
13 years 7 months ago
Life, information, entropy, and time: Vehicles for semantic inheritance
abstractions provides an additional supra-phenotypic vehicle for semantic inheritance, which supports the cultural heritages around which civilizations revolve. The following three...
Antony R. Crofts
BMCBI
2005
130views more  BMCBI 2005»
13 years 7 months ago
Some statistical properties of regulatory DNA sequences, and their use in predicting regulatory regions in the Drosophila genome
Background: This paper addresses the problem of recognising DNA cis-regulatory modules which are located far from genes. Experimental procedures for this are slow and costly, and ...
Irina I. Abnizova, Rene te Boekhorst, Klaudia Walt...