48 search results - page 1 / 10 » Principled Hybrids of Generative and Discriminative Models |
CVPR
2006
IEEE
14 years 10 months ago
2006
IEEE
When labelled training data is plentiful, discriminative techniques are widely used since they give excellent generalization performance. However, for large-scale applications suc...
BMCBI
2010
13 years 8 months ago
2010
Background: The recognition of functional binding sites in genomic DNA remains one of the fundamental challenges of genome research. During the last decades, a plethora of differe...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
EMNLP
2007
13 years 9 months ago
2007
This paper proposes a framework for semi-supervised structured output learning (SOL), specifically for sequence labeling, based on a hybrid generative and discriminative approach...
TMI
2008
13 years 7 months ago
2008
In this paper, a hybrid discriminative/generative model for brain anatomical structure segmentation is proposed. The learning aspect of the approach is emphasized. In the discrimin...