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» Object Classification Using a Fragment-Based Representation
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IWVF
2001
Springer
15 years 2 months ago
A Fragment-Based Approach to Object Representation and Classification
Shimon Ullman, Erez Sali, Michel Vidal-Naquet
NN
2008
Springer
201views Neural Networks» more  NN 2008»
14 years 9 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
77
Voted
ICCV
2009
IEEE
16 years 2 months ago
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories
Recognizing object classes and their 3D viewpoints is an important problem in computer vision. Based on a partbased probabilistic representation [31], we propose a new 3D object...
Hao Su, Min Sun, Li Fei-Fei, Silvio Savarese
87
Voted
MVA
1996
122views Computer Vision» more  MVA 1996»
14 years 11 months ago
Object Recognition from Range Images Using Superquadric Representations
Segmentation of range images using superquadric entities has been pointed out by a number of researchers as a powerful approach towards object recognition. Problems exist in findi...
Erik R. van Dop, Paul P. L. Regtien