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» Learning Hyper-Features for Visual Identification
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IJCV
2008
192views more  IJCV 2008»
13 years 6 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...
ECCV
2008
Springer
14 years 8 months ago
Learning Visual Shape Lexicon for Document Image Content Recognition
Developing effective content recognition methods for diverse imagery continues to challenge computer vision researchers. We present a new approach for document image content catego...
Guangyu Zhu, Xiaodong Yu, Yi Li, David S. Doermann
ISBI
2004
IEEE
14 years 7 months ago
Detection of Bronchovascular pairs on HRCT Lung Images Through Relational Learning
The identification of bronchovascular pairs on High Resolution Computer Tomography (HRCT) images provides valuable diagnostic information in patients with suspected airway disease...
Mithun Nagendra Prasad, Arcot Sowmya
HICSS
2008
IEEE
149views Biometrics» more  HICSS 2008»
14 years 1 months ago
Engaging E-Learning in Virtual Worlds: Supporting Group Collaboration
Current e-learning environments do not provide sufficient support for group collaboration. The absence of the visual identification of the users makes effective collaboration in e...
Katherine G. Franceschi, Ronald M. Lee, David Hind...
ECCV
2002
Springer
14 years 8 months ago
Learning the Topology of Object Views
A visual representation of an object must meet at least three basic requirements. First, it must allow identification of the object in the presence of slight but unpredictable chan...
Christoph von der Malsburg, Jan Wieghardt, Rolf P....