566 search results - page 9 / 114 » Approximation Spaces in Machine Learning and Pattern Recogni... |
93
Voted
SSPR
2010
Springer
14 years 8 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
132
Voted
BLISS
2009
IEEE
14 years 10 months ago
2009
IEEE
In this paper, we propose a statistical scheme for recognizing three-dimensional textures shown in motion images, which we call dynamic textures. The texture characteristics emerg...
TODS
2002
14 years 9 months ago
2002
Metric access methods (MAMs), such as the M-tree, are powerful index structures for supporting ty queries on metric spaces, which represent a common abstraction for those searchin...
ICML
1999
IEEE
15 years 10 months ago
1999
IEEE
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
87
Voted
CONEXT
2007
ACM
14 years 11 months ago
2007
ACM
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...