1547 search results - page 116 / 310 » Learning a Classification Model for Segmentation |
105
Voted
ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
Bayesian classifiers such as Naive Bayes or Tree Augmented Naive Bayes (TAN) have shown excellent performance given their simplicity and heavy underlying independence assumptions....
131
Voted
DAGSTUHL
2004
15 years 3 months ago
2004
Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
101
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AMAI
1999
Springer
15 years 2 months ago
1999
Springer
This paper describes a computational learning model inspired by the technology of optical thin-film multilayers from the field of optics. With the thicknesses of thin-film layers ...
139
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ECCV
2000
Springer
16 years 4 months ago
2000
Springer
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
121
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JVA
2006
IEEE
15 years 8 months ago
2006
IEEE
In this paper, we will introduce to describe learning resources by using ontology model based on metadata of learning standard as Sharable Content Object Reference Model (SCORM) a...