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1995
Tsinghua U.
15 years 7 months ago
Optimum Modulo Schedules for Minimum Register Requirements
Modulo scheduling is an e cient technique for exploiting instruction level parallelism in a variety of loops, resulting in high performance code but increased register requirement...
Alexandre E. Eichenberger, Edward S. Davidson, San...
NECO
2007
115views more  NECO 2007»
15 years 3 months ago
Training Recurrent Networks by Evolino
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
Jürgen Schmidhuber, Daan Wierstra, Matteo Gag...
UMUAI
2008
192views more  UMUAI 2008»
15 years 4 months ago
Automatic detection of learner's affect from conversational cues
We explored the reliability of detecting a learner's affect from conversational features extracted from interactions with AutoTutor, an intelligent tutoring system that helps...
Sidney K. D'Mello, Scotty D. Craig, Amy M. Withers...
IJCNLP
2005
Springer
15 years 9 months ago
Two-Phase Biomedical Named Entity Recognition Using A Hybrid Method
Biomedical named entity recognition (NER) is a difficult problem in biomedical information processing due to the widespread ambiguity of terms out of context and extensive lexical ...
Seonho Kim, Juntae Yoon, Kyung-Mi Park, Hae-Chang ...
ICDAR
2009
IEEE
15 years 11 months ago
Recognition of Degraded Handwritten Characters Using Local Features
The main problems of Optical Character Recognition (OCR) systems are solved if printed latin text is considered. Since OCR systems are based upon binary images, their results are ...
Markus Diem, Robert Sablatnig