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310
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
165
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ICPR
2010
IEEE
16 years 6 days ago
2010
IEEE
A novel 3D shape matching method is proposed in this paper. We first extract angular and distance feature pairs from pre-processed 3D models, then estimate their kernel densities ...
166
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
Model learning and tracking are two important topics in computer vision. While there are many applications where one of them is used to support the other, there are currently only...
207
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SCALESPACE
2007
Springer
16 years 20 days ago
2007
Springer
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...
198
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ICCV
2005
IEEE
16 years 8 months ago
2005
IEEE
We present an object recognition algorithm that uses model and image line features to locate complex objects in high clutter environments. Finding correspondences between model an...