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ECSQARU
2009
Springer
14 years 17 days ago
Knowledge Base Stratification and Merging Based on Degree of Support
Most operators for merging multiple knowledge bases (where each is a set of formulae) aim to produce a knowledge base as output that best reflects the information available in the ...
Anthony Hunter, Weiru Liu
ICML
2004
IEEE
14 years 9 months ago
Boosting grammatical inference with confidence oracles
In this paper we focus on the adaptation of boosting to grammatical inference. We aim at improving the performances of state merging algorithms in the presence of noisy data by us...
Jean-Christophe Janodet, Richard Nock, Marc Sebban...
ALT
2005
Springer
14 years 5 months ago
Learnability of Probabilistic Automata via Oracles
Efficient learnability using the state merging algorithm is known for a subclass of probabilistic automata termed µ-distinguishable. In this paper, we prove that state merging alg...
Omri Guttman, S. V. N. Vishwanathan, Robert C. Wil...
ICMCS
2009
IEEE
126views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Sort-Merge feature selection and fusion methods for classification of unstructured video
We explore the problem of rapid automatic semantic tagging of video frames of unstructured (unedited) videos. We apply the Sort-Merge algorithm for feature selection on a large (&...
Mitchell J. Morris, John R. Kender
ICASSP
2011
IEEE
13 years 12 days ago
An adaptive bayesian clustering and multivariate region merging based technique for efficient segmentation of color images
We propose a methodology for improved segmentation of images in a Bayesian framework by fusion of color, texture and gradient information. The proposed algorithm is initialized by...
Sreenath Rao Vantaram, Eli Saber