566 search results - page 88 / 114 » Approximation Spaces in Machine Learning and Pattern Recogni... |
144
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ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
Similarity metrics that are learned from labeled training
data can be advantageous in terms of performance
and/or efficiency. These learned metrics can then be used
in conjuncti...
155
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CAIP
2009
Springer
16 years 15 days ago
2009
Springer
In this paper, we propose a supervised Smooth Multi-Manifold Embedding (SMME) method for robust identity-independent head pose estimation. In order to handle the appearance variati...
163
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PR
2008
15 years 5 months ago
2008
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
250
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COMPGEOM
2011
ACM
14 years 9 months ago
2011
ACM
Many real-world data sets can be viewed of as noisy samples of special types of metric spaces called metric graphs [16]. Building on the notions of correspondence and GromovHausdo...
169
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ECCV
2002
Springer
16 years 7 months ago
2002
Springer
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...