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117
Voted
SUTC
2010
IEEE
15 years 1 months ago
2010
IEEE
—Compressed Sensing (CS) is a novel sampling paradigm that tries to take data-compression concepts down to the sampling layer of a sensory system. It states that discrete compres...
136
Voted
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
This paper discusses the question: Can we improve the recognition of objects by using their spatial context? We start from Bag-of-Words models and use the Pascal 2007 dataset. We u...
138
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ICCV
2007
IEEE
16 years 4 months ago
2007
IEEE
In this paper we apply state-of-the-art approach to object detection and localisation by incorporating local descriptors and their spatial configuration into a generative probabil...
140
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ECCV
2006
Springer
16 years 4 months ago
2006
Springer
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
118
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ECCV
1992
Springer
16 years 4 months ago
1992
Springer
Abstract. Binocular di erences in orientation and foreshortening are systematically related to surface slant and tilt and could potentially be exploited by biological and machine v...