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» Learning to Generate Fast Signal Processing Implementations
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134
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COST
2007
Springer
118views Multimedia» more  COST 2007»
15 years 8 months ago
The Organization of a Neurocomputational Control Model for Articulatory Speech Synthesis
The organization of a computational control model of articulatory speech synthesis is outlined in this paper. The model is based on general principles of neurophysiology and cognit...
Bernd J. Kröger, Anja Lowit, Ralph Schnitker
112
Voted
ICIP
2006
IEEE
16 years 4 months ago
Tracking Motion-Blurred Targets in Video
Many emerging applications require tracking targets in video. Most existing visual tracking methods do not work well when the target is motion-blurred (especially due to fast moti...
Shengyang Dai, Ming Yang, Ying Wu, Aggelos K. Kats...
102
Voted
AIPS
1994
15 years 3 months ago
Control Knowledge to Improve Plan Quality
Generating production-quality plans is an essential element in transforming planners from research tools into real-world applications. However most of the work to date on learning...
M. Alicia Pérez, Jaime G. Carbonell
116
Voted
HIPEAC
2007
Springer
15 years 8 months ago
Performance/Energy Optimization of DSP Transforms on the XScale Processor
The XScale processor family provides user-controllable independent configuration of CPU, bus, and memory frequencies. This feature introduces another handle for the code optimizat...
Paolo D'Alberto, Markus Püschel, Franz Franch...
116
Voted
TSP
2010
14 years 9 months ago
Recursive least squares dictionary learning algorithm
We present the Recursive Least Squares Dictionary Learning Algorithm, RLSDLA, which can be used for learning overcomplete dictionaries for sparse signal representation. Most Dicti...
Karl Skretting, Kjersti Engan