1547 search results - page 24 / 310 » Learning a Classification Model for Segmentation |
NPL
2006
13 years 9 months ago
2006
Hierarchical Incremental Class Learning (HICL) is a new task decomposition method that addresses the pattern classification problem. HICL is proven to be a good classifier but clos...
ISBI
2006
IEEE
14 years 10 months ago
2006
IEEE
This paper considers the problem of tissue classification in 3D MRI by the mean of texture analysis. The main contribution is the use of the phase of the complex MR image, to deri...
ICCV
2009
IEEE
15 years 2 months ago
2009
IEEE
Visual categorization problems, such as object classification or action recognition,
are increasingly often approached using a detection strategy: a classifier function
is first ...
ICML
2006
IEEE
14 years 10 months ago
2006
IEEE
Sequence segmentation is a flexible and highly accurate mechanism for modeling several applications. Inference on segmentation models involves dynamic programming computations tha...
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
In this paper, the results of a semi-supervised approach based on the Expectation-Maximisation algorithm for model-based clustering are presented. We show in this work that, if th...