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NIPS
2000
15 years 4 months ago
Rate-coded Restricted Boltzmann Machines for Face Recognition
We describe a neurally-inspired, unsupervised learning algorithm that builds a non-linear generative model for pairs of face images from the same individual. Individuals are then ...
Yee Whye Teh, Geoffrey E. Hinton
AUTOMATICA
2006
112views more  AUTOMATICA 2006»
15 years 3 months ago
Joint identification of plant rational models and noise distribution functions using binary-valued observations
System identification of plants with binary-valued output observations is of importance in understanding modeling capability and limitations for systems with limited sensor inform...
Le Yi Wang, Gang George Yin, Ji-Feng Zhang
115
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AUTOMATICA
2006
90views more  AUTOMATICA 2006»
15 years 3 months ago
An ISS-modular approach for adaptive neural control of pure-feedback systems
Controlling non-affine non-linear systems is a challenging problem in control theory. In this paper, we consider adaptive neural control of a completely non-affine pure-feedback s...
Cong Wang, David J. Hill, S. S. Ge, Guanrong Chen
104
Voted
INFORMS
2008
55views more  INFORMS 2008»
15 years 3 months ago
Mathematical Programming Algorithms for Two-Path Routing Problems with Reliability Considerations
Most traditional routing problems assume perfect operability of all arcs and nodes. However, when independent arc failure probabilities exist, a secondary objective must be presen...
April K. Andreas, J. Cole Smith
132
Voted
CODES
2010
IEEE
15 years 1 months ago
Improving platform-based system synthesis by satisfiability modulo theories solving
Due to the ever increasing system complexity, deciding whether a given platform is sufficient to implement a set of applications under given constraints becomes a serious bottlene...
Felix Reimann, Michael Glaß, Christian Haube...