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115
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ICCV
2011
IEEE
13 years 11 months ago
2011
IEEE
Weakly supervised discovery of common visual structure in highly variable, cluttered images is a key problem in recognition. We address this problem using deformable part-based mo...
ICCV
2005
IEEE
16 years 1 months ago
2005
IEEE
Discriminative learning is challenging when examples are sets of features, and the sets vary in cardinality and lack any sort of meaningful ordering. Kernel-based classification m...
118
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NIPS
2008
15 years 1 months ago
2008
Language and image understanding are two major goals of artificial intelligence which can both be conceptually formulated in terms of parsing the input signal into a hierarchical ...
IJCV
2000
14 years 11 months ago
2000
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
ICML
2009
IEEE
16 years 18 days ago
2009
IEEE
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...