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» Informative sensing of natural images
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RIVF
2008
14 years 17 days ago
Unsupervised learning for image classification based on distribution of hierarchical feature tree
The classification image into one of several categories is a problem arisen naturally under a wide range of circumstances. In this paper, we present a novel unsupervised model for ...
Thach-Thao Duong, Joo-Hwee Lim, Hai-Quan Vu, Jean-...
PAMI
2008
157views more  PAMI 2008»
13 years 11 months ago
Globally Optimal Grouping for Symmetric Closed Boundaries by Combining Boundary and Region Information
Many natural and man-made structures have a boundary that shows a certain level of bilateral symmetry, a property that plays an important role in both human and computer vision. In...
Joachim S. Stahl, Song Wang
BMVC
2010
13 years 9 months ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele
CIVR
2008
Springer
127views Image Analysis» more  CIVR 2008»
14 years 28 days ago
Investigating keyframe selection methods in the novel domain of passively captured visual lifelogs
The SenseCam is a passive capture wearable camera, worn around the neck, and when worn continuously it takes an average of 1,900 images per day. It can be used to create a persona...
Aiden R. Doherty, Daragh Byrne, Alan F. Smeaton, G...
PR
2006
141views more  PR 2006»
13 years 11 months ago
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
Hong Chang, Dit-Yan Yeung, William K. Cheung