3607 search results - page 287 / 722 » Learning with structured sparsity |
214
Voted
NIPS
2008
15 years 8 months ago
2008
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
192
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NN
2008
Springer
15 years 6 months ago
2008
Springer
dely acknowledged that categorically organized abstract knowledge plays a significant role in high-order human cognition. Yet, there are many unknown issues about the nature of ho...
189
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CVPR
2011
IEEE
15 years 2 months ago
2011
IEEE
We present a novel probabilistic framework for rigid tracking and segmentation of shapes observed from multiple cameras. Most existing methods have focused on solving each of thes...
199
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CVIU
2011
14 years 10 months ago
2011
In this paper, we tackle the problem of embedding a set of relational structures into a metric space for purposes of matching and categorisation. To this end, we view the problem ...
170
Voted
CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...