1575 search results - page 197 / 315 » Unsupervised Learning of Models for Recognition |
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
ICIP
2008
IEEE
15 years 11 months ago
2008
IEEE
In this paper, we derive a data mining framework to analyze 3D features on human faces. The framework leverages kernel density estimators, genetic algorithm and an information com...
ANNPR
2008
Springer
14 years 12 months ago
2008
Springer
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
IBPRIA
2009
Springer
15 years 2 months ago
2009
Springer
In this paper we argue that maximum expected utility is a suitable framework for modeling a broad range of decision problems arising in pattern recognition and related fields. Exa...
CVPR
2007
IEEE
15 years 12 months ago
2007
IEEE
We present a discriminative shape-based algorithm for object category localization and recognition. Our method learns object models in a weakly-supervised fashion, without requiri...