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ICASSP
2010
IEEE
15 years 4 months ago
Image-quality prediction of synthetic aperture sonar imagery
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
David P. Williams
CORR
2010
Springer
74views Education» more  CORR 2010»
15 years 4 months ago
Significance of Classification Techniques in Prediction of Learning Disabilities
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
Julie M. David, Kannan Balakrishnan
JCIT
2008
124views more  JCIT 2008»
15 years 4 months ago
A Knowledge based Approach Using Fuzzy Inference Rules for Vowel Recognition
Automatic speech recognition by machine is one of the most efficient methods for man-machine communications. Because speech waveform is nonlinear and variant. Speech recognition r...
Hrudaya K. Tripathy, B. K. Tripathy, Pradip K. Das
133
Voted
KES
2008
Springer
15 years 4 months ago
Epileptic Seizure Classification Using Neural Networks with 14 Features
Epilepsy is one of the most frequent neurological disorders. The main method used in epilepsy diagnosis is electroencephalogram (EEG) signal analysis. However this method requires ...
Rui P. Costa, Pedro Oliveira, Guilherme Rodrigues,...
JPDC
2006
95views more  JPDC 2006»
15 years 4 months ago
Speculative pre-execution assisted by compiler (SPEAR)
Speculative pre-execution achieves efficient data prefetching by running additional prefetching threads on spare hardware contexts. Various implementations for speculative pre-exe...
Won Woo Ro, Jean-Luc Gaudiot
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