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» Learning Models for Object Recognition
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CVPR
2008
IEEE
15 years 9 days ago
Learning class-specific affinities for image labelling
Spectral clustering and eigenvector-based methods have become increasingly popular in segmentation and recognition. Although the choice of the pairwise similarity metric (or affin...
Dhruv Batra, Rahul Sukthankar, Tsuhan Chen
ICCV
2003
IEEE
15 years 6 days ago
Minimum Risk Distance Measure for Object Recognition
Recently, the optimal distance measure for a given object discrimination task under the nearest neighbor framework was derived [1]. For ease of implementation and efficiency consi...
Shyjan Mahamud, Martial Hebert
ECCV
2002
Springer
15 years 4 days ago
A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition
Numerous statistical learning methods have been developed for visual recognition tasks. Few attempts, however, have been made to address theoretical issues, and in particular, stud...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
ETS
2006
IEEE
114views Hardware» more  ETS 2006»
13 years 10 months ago
From Research Resources to Learning Objects: Process Model and Virtualization Experiences
Typically, most research and academic institutions own and archive a great amount of objects and research related resources that have been produced, used and maintained over long ...
José Luis Sierra, Alfredo Fernández-...
ICCV
2007
IEEE
15 years 7 days ago
Unsupervised Learning of Object Deformation Models
Iasonas Kokkinos, Alan L. Yuille