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SPLC
2004
13 years 9 months ago
Staged Configuration Using Feature Models
Feature modeling is an important approach to capturing commonalities and variabilities in system families and product lines. In this paper, we propose a cardinality-based notation ...
Krzysztof Czarnecki, Simon Helsen, Ulrich W. Eisen...
CICLING
2008
Springer
13 years 10 months ago
Semantic and Syntactic Features for Dutch Coreference Resolution
We investigate the effect of encoding additional semantic and syntactic information sources in a classification-based machine learning approach to the task of coreference resolutio...
Iris Hendrickx, Véronique Hoste, Walter Dae...
CVPR
2005
IEEE
14 years 10 months ago
Semi-Supervised Cross Feature Learning for Semantic Concept Detection in Videos
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. But a major obstacle to this is the insufficienc...
Rong Yan, Milind R. Naphade
MMM
2008
Springer
128views Multimedia» more  MMM 2008»
14 years 2 months ago
Semantic Quantization of 3D Human Motion Capture Data Through Spatial-Temporal Feature Extraction
3D motion capture is a form of multimedia data that is widely used in animation and medical fields (such as physical medicine and rehabilitation where body joint analysis is neede...
Yohan Jin, B. Prabhakaran
COLING
2010
13 years 2 months ago
An Exploration of Features for Recognizing Word Emotion
Emotion words have been well used as the most obvious choice as feature in the task of textual emotion recognition and automatic emotion lexicon construction. In this work, we exp...
Changqin Quan, Fuji Ren