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» The Catchment Feature Model for Multimodal Language Analysis
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AAAI
2008
13 years 9 months ago
An Effective and Robust Method for Short Text Classification
Classification of texts potentially containing a complex and specific terminology requires the use of learning methods that do not rely on extensive feature engineering. In this w...
Victoria Bobicev, Marina Sokolova
UML
2005
Springer
14 years 26 days 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
SIGMOD
2003
ACM
147views Database» more  SIGMOD 2003»
14 years 7 months ago
Formal semantics and analysis of object queries
Modern database systems provide not only powerful data models but also complex query languages supporting powerful features such as the ability to create new database objects and ...
Gavin M. Bierman
ICASSP
2010
IEEE
13 years 7 months ago
Model-level data-driven sub-units for signs in videos of continuous Sign Language
We investigate the issue of sign language automatic phonetic subunit modeling, that is completely data driven and without any prior phonetic information. A first step of visual p...
Stavros Theodorakis, Vassilis Pitsikalis, Petros M...
IBPRIA
2005
Springer
14 years 28 days ago
Appearance-Based Recognition of Words in American Sign Language
In this paper, we present how appearance-based features can be used for the recognition of words in American sign language (ASL) from a video stream. The features are extracted wit...
Morteza Zahedi, Daniel Keysers, Hermann Ney