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» Support Kernel Machines for Object Recognition
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CORR
2008
Springer
165views Education» more  CORR 2008»
14 years 9 months ago
Feature Selection By KDDA For SVM-Based MultiView Face Recognition
: Applications such as Face Recognition (FR) that deal with high-dimensional data need a mapping technique that introduces representation of low-dimensional features with enhanced ...
Seyyed Majid Valiollahzadeh, Abolghasem Sayadiyan,...
PCM
2010
Springer
223views Multimedia» more  PCM 2010»
14 years 8 months ago
Discovering Motion Patterns for Human Action Recognition
In this paper, we propose a novel Spatiotemporal Interest Point (MC-STIP) detector based on the coherent motion pattern around each voxel in videos. Our detector defines the local...
Ziming Zhang, Jiawei Huang, Ze-Nian Li
DAGM
2007
Springer
15 years 1 months ago
Greedy-Based Design of Sparse Two-Stage SVMs for Fast Classification
Cascades of classifiers constitute an important architecture for fast object detection. While boosting of simple (weak) classifiers provides an established framework, the design of...
Rezaul Karim, Martin Bergtholdt, Jörg H. Kapp...
75
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ICML
2006
IEEE
15 years 10 months ago
Permutation invariant SVMs
We extend Support Vector Machines to input spaces that are sets by ensuring that the classifier is invariant to permutations of subelements within each input. Such permutations in...
Pannagadatta K. Shivaswamy, Tony Jebara
COMPCON
1994
IEEE
15 years 1 months ago
The Newton Application Architecture
The application architecture of Newton, a technology for supporting Personal Digital Assistants (PDAs), is described. It combines a dynamic, object-oriented language called Newton...
Walter R. Smith