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ESANN
2008
13 years 10 months ago
Word recognition and incremental learning based on neural associative memories and hidden Markov models
Abstract. An architecture for achieving word recognition and incremental learning of new words in a language processing system is presented. The architecture is based on neural ass...
Zöhre Kara Kayikci, Günther Palm
BIOCOMP
2006
13 years 10 months ago
The Use of Context-Sensitive Grammar For Modeling RNA Pseudoknots
- In this study, a context-sensitive grammar is suggested to model various forms of RNA secondary structures, especially pseudoknots. Comparing with a conventional context-free gra...
Keum-Young Sung
AMFG
2007
IEEE
255views Biometrics» more  AMFG 2007»
14 years 1 months ago
A New Probabilistic Model for Recognizing Signs with Systematic Modulations
Abstract. This paper addresses an aspect of sign language (SL) recognition that has largely been overlooked in previous work and yet is integral to signed communication. It is the ...
Sylvie C. W. Ong, Surendra Ranganath
UML
2005
Springer
14 years 2 months ago
Performance Analysis of UML Models Using Aspect-Oriented Modeling Techniques
Abstract. Aspect-Oriented Modeling (AOM) techniques allow software designers to isolate and address separately solutions for crosscutting concerns (such as security, reliability, n...
Hui Shen, Dorina C. Petriu
JAIR
2007
151views more  JAIR 2007»
13 years 9 months ago
Topic and Role Discovery in Social Networks with Experiments on Enron and Academic Email
Previous work in social network analysis (SNA) has modeled the existence of links from one entity to another, but not the attributes such as language content or topics on those li...
Andrew McCallum, Xuerui Wang, Andrés Corrad...