Sciweavers

1547 search results - page 23 / 310
» Learning a Classification Model for Segmentation
Sort
View
EMNLP
2006
13 years 10 months ago
Competitive generative models with structure learning for NLP classification tasks
In this paper we show that generative models are competitive with and sometimes superior to discriminative models, when both kinds of models are allowed to learn structures that a...
Kristina Toutanova
ECML
2006
Springer
14 years 25 days ago
Bayesian Learning of Markov Network Structure
Abstract. We propose a simple and efficient approach to building undirected probabilistic classification models (Markov networks) that extend na
Aleks Jakulin, Irina Rish
ICIP
2005
IEEE
14 years 10 months ago
A classification approach for anatomical regions segmentation
In this paper, a supervised pixel-based classifier approach for segmenting different anatomical regions in abdominal Computed Tomography (CT) studies is presented. The approach co...
Mikhail Kalinin, Daniela Stan Raicu, Jacob D. Furs...
ICIP
2003
IEEE
14 years 10 months ago
Integrated segmentation and classification for automotive airbag suppression
The use of airbags into automobiles has significantly improved the safety of the occupants. Unfortunately, when airbags are deployed in the case of a crash, they can also cause fa...
Michael E. Farmer, Anil K. Jain
ICCV
2011
IEEE
12 years 9 months ago
Incremental On-line Semi-supervised Learning for Segmenting the Left Ventricle of the Heart from Ultrasound Data
Recently, there has been an increasing interest in the investigation of statistical pattern recognition models for the fully automatic segmentation of the left ventricle (LV) of t...
Gustavo Carneiro, Jacinto C. Nascimento