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» Perturbation based Large Margin Approach for Ranking
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IJCNLP
2005
Springer
14 years 1 months ago
Answering Definition Questions Using Web Knowledge Bases
This paper presents a definition question answering approach, which is capable of mining textual definitions from large collections of documents. In order to automatically identify...
Zhushuo Zhang, Yaqian Zhou, Xuanjing Huang, Lide W...
CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
13 years 9 months ago
A probabilistic ranking framework using unobservable binary events for video search
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Fra...
CVPR
2010
IEEE
13 years 7 months ago
High performance object detection by collaborative learning of Joint Ranking of Granules features
Object detection remains an important but challenging task in computer vision. We present a method that combines high accuracy with high efficiency. We adopt simplified forms of...
Chang Huang, Ramakant Nevatia
ACL
2007
13 years 9 months ago
Vocabulary Decomposition for Estonian Open Vocabulary Speech Recognition
Speech recognition in many morphologically rich languages suffers from a very high out-of-vocabulary (OOV) ratio. Earlier work has shown that vocabulary decomposition methods can ...
Antti Puurula, Mikko Kurimo
ECCV
2008
Springer
14 years 9 months ago
Discriminative Learning for Deformable Shape Segmentation: A Comparative Study
Abstract. We present a comparative study on how to use discriminative learning methods such as classification, regression, and ranking to address deformable shape segmentation. Tra...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...