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NIPS
1997
14 years 6 days 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
CGF
2010
99views more  CGF 2010»
13 years 11 months ago
Trivial Connections on Discrete Surfaces
This paper presents a straightforward algorithm for constructing connections on discrete surfaces that are as smooth as possible everywhere but on a set of isolated singularities ...
Keenan Crane, Mathieu Desbrun, Peter Schröder
DDECS
2007
IEEE
80views Hardware» more  DDECS 2007»
14 years 5 months ago
Design Platform for Quick Integration of an Internet Connectivity into System-on-Chips
— The paper describes pre-integrated subsystem consisting of a configurable 8-bit microcontroller and an Internet connection solution. The latter integrates Ethernet Media Access...
Bartosz Wojciechowski, Tomasz Kowalczyk, Wojciech ...
DAPSYS
2004
Springer
14 years 4 months ago
glogin - Interactive Connectivity for the Grid
Todays computational grids are used mostly for batch processing and throughput computing, where jobs are submitted to a queue, processed, and finally delivered for post-mortem an...
Herbert Rosmanith, Jens Volkert
DDECS
2007
IEEE
133views Hardware» more  DDECS 2007»
14 years 20 days ago
Prototyping Generators for On-line Test Vector Generation Based on PSL Properties
— From an assumed property, which constrains the inputs of a design under test, we produce a RTL synthesizable design that generates compliant sequences of values for all the sig...
Yann Oddos, Katell Morin-Allory, Dominique Borrion...