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» Learning Mid-Level Features For Recognition
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CVPR
2008
IEEE
13 years 9 months ago
Classification via semi-Riemannian spaces
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
TKDE
2008
133views more  TKDE 2008»
13 years 7 months ago
Rotational Linear Discriminant Analysis Technique for Dimensionality Reduction
The linear discriminant analysis (LDA) technique is very popular in pattern recognition for dimensionality reduction. It is a supervised learning technique that finds a linear tran...
Alok Sharma, Kuldip K. Paliwal
ICRA
2008
IEEE
204views Robotics» more  ICRA 2008»
14 years 2 months ago
Active exploration and keypoint clustering for object recognition
— Object recognition is a challenging problem for artificial systems. This is especially true for objects that are placed in cluttered and uncontrolled environments. To challenge...
Gert Kootstra, Jelmer Ypma, Bart de Boer
IMAGING
2003
13 years 9 months ago
Color and Color Constancy in a Translation Model for Object Recognition
Color is of interest to those working in computer vision largely because it is assumed to be helpful for recognition. This assumption has driven much work in color based image ind...
Kobus Barnard, Prasad Gabbur
ICCV
2005
IEEE
14 years 1 months ago
Behaviour Understanding in Video: A Combined Method
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
Neil Robertson, Ian D. Reid