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» Development of Neural Networks for Noise Reduction
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IJPRAI
2000
135views more  IJPRAI 2000»
13 years 7 months ago
Towards Unrestricted Lip Reading
Lip reading provides useful information in speech perception and language understanding, especially when the auditory speech is degraded. However, many current automatic lip readi...
Uwe Meier, Rainer Stiefelhagen, Jie Yang, Alex Wai...
JCNS
2007
77views more  JCNS 2007»
13 years 7 months ago
Threshold fatigue and information transfer
Neurons in vivo must process sensory information in the presence of significant noise. It is thus plausible to assume that neural systems have developed mechanisms to reduce this n...
Maurice J. Chacron, Benjamin Lindner, André...
NIPS
2001
13 years 9 months ago
Speech Recognition with Missing Data using Recurrent Neural Nets
In the `missing data' approach to improving the robustness of automatic speech recognition to added noise, an initial process identifies spectraltemporal regions which are do...
S. Parveen, P. Green
SOCO
2008
Springer
13 years 7 months ago
Tabu search for attribute reduction in rough set theory
Attribute reduction of an information system is a key problem in rough set theory and its applications. Using computational intelligence (CI) tools to solve such problems has rece...
Abdel-Rahman Hedar, Jue Wang, Masao Fukushima
ICCAD
2009
IEEE
89views Hardware» more  ICCAD 2009»
13 years 5 months ago
Decoupling capacitance efficient placement for reducing transient power supply noise
Decoupling capacitance (decap) is an efficient way to reduce transient noise in on-chip power supply networks. However, excessive decap may cause more leakage power, chip resource...
Xiaoyi Wang, Yici Cai, Qiang Zhou, Sheldon X.-D. T...