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ICPR
2010
IEEE
15 years 5 months ago
A Semi-Supervised Gaussian Mixture Model for Image Segmentation
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...
Adolfo Martínez-Usó, F. Pla, Jose Martínez Soto...
118
Voted
GI
2010
Springer
15 years 2 months ago
Extended Object and Group Tracking: A Comparison of Random Matrices and Random Hypersurface Models
: Based on previous work of the authors, this paper provides a comparison of two different tracking methodologies for extended objects and group targets, where the true shape of th...
Marcus Baum, Michael Feldmann, Dietrich Fraenken, ...
NAACL
2010
15 years 1 months ago
Learning Dense Models of Query Similarity from User Click Logs
The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrit...
Fabio De Bona, Stefan Riezler, Keith Hall, Massimi...
NSPW
2006
ACM
15 years 9 months ago
Sanitization models and their limitations
This work explores issues of computational disclosure control. We examine assumptions in the foundations of traditional problem statements and abstract models. We offer a comprehe...
Rick Crawford, Matt Bishop, Bhume Bhumiratana, Lis...
112
Voted
COLING
1996
15 years 5 months ago
A Gradual Refinement Model for A Robust Thai Morphological Analyzer
This work attempts to provide a robust Thai morphological analyzer which can automatically assign the correct part-of-speech tag to the correct word with time and space efficiency...
Asanee Kawtrakul, Chalatip Thumkanon, Thitima Jamj...