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» Geodesic Object Representation and Recognition
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126
Voted
ISBI
2008
IEEE
16 years 4 months ago
Support vector machine for data on manifolds: An application to image analysis
The Support Vector Machine (SVM) is a powerful tool for classification. We generalize SVM to work with data objects that are naturally understood to be lying on curved manifolds, ...
Suman K. Sen, Mark Foskey, James Stephen Marron, M...
140
Voted
CVPR
2007
IEEE
16 years 5 months ago
Learning the Compositional Nature of Visual Objects
The compositional nature of visual objects significantly limits their representation complexity and renders learning of structured object models tractable. Adopting this modeling ...
Björn Ommer, Joachim M. Buhmann
121
Voted
ICPR
2000
IEEE
15 years 8 months ago
Human Silhouette Recognition with Fourier Descriptors
A novel approach for human silhouette recognition is presented. The method is based on Fourier descriptors. We made an analysis of which and how many descriptors are enough to hav...
Rocío Díaz de León, Luis Enri...
124
Voted
NN
2002
Springer
114views Neural Networks» more  NN 2002»
15 years 3 months ago
Learning the parts of objects by auto-association
Recognition-by-components is one of the possible strategies proposed for object recognition by the brain, but little is known about the low-level mechanism by which the parts of o...
Xijin Ge, Shuichi Iwata
115
Voted
ICCV
1998
IEEE
16 years 5 months ago
Parameterized Modeling and Recognition of Activities
A framework for modeling and recognition of temporal activities is proposed. The modeling of sets of exemplar activities is achieved by parameterizing their representation in the ...
Yaser Yacoob, Michael J. Black