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» A Neural Probabilistic Language Model
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NN
2006
Springer
121views Neural Networks» more  NN 2006»
14 years 9 months ago
Mirror neurons and imitation: A computationally guided review
Neurophysiology reveals the properties of individual mirror neurons in the macaque while brain imaging reveals the presence of `mirror systems' (not individual neurons) in th...
Erhan Oztop, Mitsuo Kawato, Michael A. Arbib
ICDT
2011
ACM
242views Database» more  ICDT 2011»
14 years 1 months ago
Knowledge compilation meets database theory: compiling queries to decision diagrams
The goal of Knowledge Compilation is to represent a Boolean expression in a format in which it can answer a range of online-queries in PTIME. The online-query of main interest to ...
Abhay Kumar Jha, Dan Suciu
73
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ICPR
2000
IEEE
15 years 10 months ago
Improved Degraded Document Recognition with Hybrid Modeling Techniques and Character N-Grams
In this paper a robust multifont character recognition system for degraded documents such as photocopy or fax is described. The system is based on Hidden Markov Models (HMMs) usin...
Anja Brakensiek, Daniel Willett, Gerhard Rigoll
CONCUR
2007
Springer
15 years 3 months ago
Making Random Choices Invisible to the Scheduler
Abstract. When dealing with process calculi and automata which express both nondeterministic and probabilistic behavior, it is customary to introduce the notion of scheduler to res...
Konstantinos Chatzikokolakis, Catuscia Palamidessi
EUROSYS
2008
ACM
15 years 6 months ago
Samurai: protecting critical data in unsafe languages
Programs written in type-unsafe languages such as C and C++ incur costly memory errors that result in corrupted data structures, program crashes, and incorrect results. We present...
Karthik Pattabiraman, Vinod Grover, Benjamin G. Zo...