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160
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ECCV
2006
Springer
15 years 5 months ago
Recognition and Segmentation of 3-D Human Action Using HMM and Multi-class AdaBoost
Our goal is to automatically segment and recognize basic human actions, such as stand, walk and wave hands, from a sequence of joint positions or pose angles. Such recognition is d...
Fengjun Lv, Ramakant Nevatia
146
Voted
CVPR
2008
IEEE
15 years 5 months ago
Optimizing discrimination-efficiency tradeoff in integrating heterogeneous local features for object detection
A large variety of image features has been invented for detection of objects of a known class. We propose a framework to optimize the discrimination-efficiency tradeoff in integra...
Bo Wu, Ram Nevatia
140
Voted
EKAW
2008
Springer
15 years 5 months ago
On the Influence of Description Logics Ontologies on Conceptual Similarity
Similarity measures play a key role in the Semantic Web perspective. Indeed, most of the ontology related operations such as ontology learning, ontology alignment, ontology ranking...
Claudia d'Amato, Steffen Staab, Nicola Fanizzi
130
Voted
ACL
2008
15 years 5 months ago
A Tree Sequence Alignment-based Tree-to-Tree Translation Model
This paper presents a translation model that is based on tree sequence alignment, where a tree sequence refers to a single sequence of subtrees that covers a phrase. The model lev...
Min Zhang, Hongfei Jiang, AiTi Aw, Haizhou Li, Che...
169
Voted
ACL
2008
15 years 5 months ago
Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data
This paper provides evidence that the use of more unlabeled data in semi-supervised learning can improve the performance of Natural Language Processing (NLP) tasks, such as part-o...
Jun Suzuki, Hideki Isozaki