Sciweavers

502 search results - page 8 / 101
» Learning to Generate Fast Signal Processing Implementations
Sort
View
ICASSP
2011
IEEE
12 years 11 months ago
DSP evolution from a teaching point of view
In this paper the authors are addressing the concerns associated with fast growing DSP chips and tools and the impact they have on teaching DSP implementation. The authors also pr...
Naim Dahnoun, Jason Brand
SIPS
2008
IEEE
14 years 1 months ago
Efficient mapping of advanced signal processing algorithms on multi-processor architectures
Modern microprocessor technology is migrating from simply increasing clock speeds on a single processor to placing multiple processors on a die to increase throughput and power pe...
Bhavana B. Manjunath, Aaron S. Williams, Chaitali ...
ICASSP
2011
IEEE
12 years 11 months ago
Fast discriminative speaker verification in the i-vector space
This work presents a new approach to discriminative speaker verification. Rather than estimating speaker models, or a model that discriminates between a speaker class and the cla...
Sandro Cumani, Niko Brümmer, Lukas Burget, Pi...
NIPS
1997
13 years 8 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
JCB
2006
125views more  JCB 2006»
13 years 7 months ago
Hypothesis Generation in Signaling Networks
Biological signaling networks comprise the chemical processes by which cells detect and respond to changes in their environment. Such networks have been implicated in the regulati...
Derek A. Ruths, Luay Nakhleh, M. Sriram Iyengar, S...