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» Learning to Generate Fast Signal Processing Implementations
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NIPS
1993
13 years 9 months ago
Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
Christopher G. Atkeson
FPL
2005
Springer
130views Hardware» more  FPL 2005»
14 years 1 months ago
Communication Synthesis in a multiprocessor environment
At Leiden University, we are developing a design methodology that allows for fast mapping of nested-loop applications (e.g. DSP, Imaging, or MultiMedia) written in a subset of Matl...
Claudiu Zissulescu, Bart Kienhuis, Ed F. Depretter...
ICA
2010
Springer
13 years 8 months ago
Binary Sparse Coding
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
Marc Henniges, Gervasio Puertas, Jörg Bornsch...
ICASSP
2011
IEEE
12 years 11 months ago
An efficient rank-deficient computation of the Principle of Relevant Information
One of the main difficulties in computing information theoretic learning (ITL) estimators is the computational complexity that grows quadratically with data. Considerable amount ...
Luis Gonzalo Sánchez Giraldo, José C...
ICASSP
2007
IEEE
14 years 1 months ago
Eigentongue Feature Extraction for an Ultrasound-Based Silent Speech Interface
The article compares two approaches to the description of ultrasound vocal tract images for application in a “silent speech interface,” one based on tongue contour modeling, a...
Thomas Hueber, Guido Aversano, Gérard Choll...