899 search results - page 89 / 180 » Is an ordinal class structure useful in classifier learning |
FASE
2005
Springer
14 years 2 months ago
2005
Springer
Graphs are a common means to represent structures in models and meta-models of software systems. In this context, the description of model domains by classifying the domain entitie...
MICCAI
2008
Springer
14 years 10 months ago
2008
Springer
Abstract. The automation of segmentation of medical images is an active research area. However, there has been criticism of the standard of evaluation of methods. We have comprehen...
SMC
2007
IEEE
14 years 3 months ago
2007
IEEE
One-class classification naturally only provides one class of exemplars on which to construct the classification model. In this work, multiobjective genetic programming (GP) all...
ICIP
2005
IEEE
14 years 10 months ago
2005
IEEE
In this paper, we propose a novel classification method, called local manifold matching (LMM), for face recognition. LMM has great representational capacity of available prototypes...
PRL
2006
13 years 8 months ago
2006
Receiver Operating Characteristics (ROC) graphs are a useful technique for organizing classifiers and visualizing their performance. ROC graphs have been used in cost-sensitive le...