566 search results - page 88 / 114 » Approximation Spaces in Machine Learning and Pattern Recogni... |
ICCV
2009
IEEE
16 years 8 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...
120
click to vote
CAIP
2009
Springer
15 years 9 months 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...
132
click to vote
PR
2008
15 years 3 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...
189
click to vote
COMPGEOM
2011
ACM
14 years 6 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...
130
click to vote
ECCV
2002
Springer
16 years 5 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...