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NIPS
1997
15 years 6 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
CGF
2010
99views more  CGF 2010»
15 years 5 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»
15 years 11 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
15 years 10 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»
15 years 6 months 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...