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217
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CVPR
2011
IEEE
15 years 3 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
3011
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CVPR
2011
IEEE
15 years 3 months ago
2011
IEEE
When glancing at a magazine, or browsing the Internet, we are continuously being exposed to photographs. Despite of this overflow of visual information, humans are extremely good...
207
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ACCV
2010
Springer
15 years 2 months ago
2010
Springer
Support Vector Regression (SVR) has been a long standing problem in machine learning, and gains its popularity on various computer vision tasks. In this paper, we propose a structu...
242
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CVPR
2011
IEEE
14 years 11 months ago
2011
IEEE
Recovering 3D geometry from a single view of an object is an important and challenging problem in computer vision. Previous methods mainly focus on one specific class of objects ...
232
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ICCV
2011
IEEE
14 years 7 months ago
2011
IEEE
Subordinate-level categorization typically rests on establishing salient distinctions between part-level characteristics of objects, in contrast to basic-level categorization, whe...