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» Object Category Classification Using Occluding Contours
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NIPS
2008
13 years 9 months ago
Unsupervised Learning of Visual Sense Models for Polysemous Words
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
Kate Saenko, Trevor Darrell
3DOR
2010
13 years 2 months ago
Semantics-Driven Approach for Automatic Selection of Best Views of 3D Shapes
We introduce a new framework for the automatic selection of the best views of 3D models. The approach is based on the assumption that models belonging to the same class of shapes ...
Hamid Laga
SAC
2004
ACM
14 years 1 months ago
Boundary extraction in thermal images by edge map
Extracting object boundaries in thermal images is a challenging task because of the amorphous nature of the images and the lack of sharp boundaries. Classical edge-based segmentat...
Quming Zhou, Zhuojing Li, Jake K. Aggarwal
CIKM
2008
Springer
13 years 9 months ago
Automatic detection of treatment relationships for patent retrieval
We devise a method for automatically detecting treatment relationships using lexico-syntactic patterns and its application to medical-oriented patent retrieval. This process for d...
Aaron Chu, Shigeyuki Sakurai, Alfonso F. Cardenas
IJCV
2008
192views more  IJCV 2008»
13 years 7 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...