515 search results - page 27 / 103 » Learning Image Components for Object Recognition |
130
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ICCV
2005
IEEE
16 years 4 months ago
2005
IEEE
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
131
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ICCV
2011
IEEE
14 years 2 months ago
2011
IEEE
Invariant representations in object recognition systems are generally obtained by pooling feature vectors over spatially local neighborhoods. But pooling is not local in the featu...
115
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ICCV
1999
IEEE
15 years 7 months ago
1999
IEEE
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
143
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IVC
2008
15 years 2 months ago
2008
This paper presents an object categorization method. Our approach involves the following aspects of cognitive vision : machine learning and knowledge representation. A major eleme...
149
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ICCV
2011
IEEE
14 years 2 months ago
2011
IEEE
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...