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TNN
2010
182views Management» more  TNN 2010»
14 years 9 months ago
A discrete-time neural network for optimization problems with hybrid constraints
Abstract--Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathem...
Huajin Tang, Haizhou Li, Zhang Yi
ICFP
2002
ACM
16 years 2 months ago
An expressive, scalable type theory for certified code
We present the type theory LTT, intended to form a basis for typed target languages, providing an internal notion of logical proposition and proof. The inclusion of explicit proof...
Karl Crary, Joseph Vanderwaart
ICCV
2005
IEEE
16 years 4 months ago
A New Framework for Approximate Labeling via Graph Cuts
A new framework is presented that uses tools from duality theory of linear programming to derive graph-cut based combinatorial algorithms for approximating NP-hard classification ...
Nikos Komodakis, Georgios Tziritas
ICIP
2000
IEEE
16 years 4 months ago
Effective Channel Coding for DCT Watermarks
We describe effective channel coding strategies which can be used in conjunction with linear programming optimization techniques for the embedding of robust perceptually adaptive ...
Shelby Pereira, Sviatoslav Voloshynovskiy, Thierry...
ICCD
2000
IEEE
116views Hardware» more  ICCD 2000»
15 years 11 months ago
Representing and Scheduling Looping Behavior Symbolically
This paper presents a very general, exact technique for scheduling looping data-flow graphs. In contrast to the conventional technique using loop iteration variables and integer ...
Steve Haynal, Forrest Brewer