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» Isolated Features Detection in Feature Models
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CVPR
2005
IEEE
16 years 1 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
105
Voted
FGR
2008
IEEE
165views Biometrics» more  FGR 2008»
14 years 12 months ago
The significance of facial features for automatic sign language recognition
Although facial features are considered to be essential for humans to understand sign language, no prior research work has yet examined their significance for automatic sign langu...
Ulrich von Agris, Moritz Knorr, Karl-Friedrich Kra...
CIKM
2010
Springer
14 years 10 months ago
Context modeling for ranking and tagging bursty features in text streams
Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without takin...
Wayne Xin Zhao, Jing Jiang, Jing He, Dongdong Shan...
MODELS
2010
Springer
14 years 10 months ago
A Dynamic-Priority Based Approach to Fixing Inconsistent Feature Models
In feature models’ construction, one basic task is to ensure the consistency of feature models, which often involves detecting and fixing of inconsistencies in feature models. S...
Bo Wang, Yingfei Xiong, Zhenjiang Hu, Haiyan Zhao,...
ICIAP
2007
ACM
15 years 12 months ago
Appearance-based 3D object recognition with time-invariant features
In this paper we explore the interlink between temporally dense view-based object recognition and sparse image representations with local keypoints. The temporal component is an a...
Elisabetta Delponte, Nicoletta Noceti, Francesca O...