1547 search results - page 133 / 310 » Learning a Classification Model for Segmentation |
125
click to vote
ICPR
2000
IEEE
15 years 7 months ago
2000
IEEE
In this paper we introduce a new deformable model, called eigensnake, for segmentation of elongated structures in a probabilistic framework. Instead of snake attraction by speciï¬...
140
Voted
CVPR
2012
IEEE
13 years 5 months ago
2012
IEEE
The use of statistical pattern recognition models to segment the left ventricle of the heart in ultrasound images has gained substantial attention over the last few years. The mai...
142
Voted
HIS
2008
15 years 4 months ago
2008
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
111
Voted
ESANN
2006
15 years 4 months ago
2006
Abstract. Response surfaces are a powerful tool for both classification and regression as they are able to model many different phenomena and construct complex boundaries between c...
123
Voted
IUI
2009
ACM
15 years 11 months ago
2009
ACM
Knowledge workers must manage large numbers of simultaneous, ongoing projects that collectively involve huge numbers of resources (documents, emails, web pages, calendar items, et...