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» Unsupervised feature selection using a neuro-fuzzy approach
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RSFDGRC
2005
Springer
111views Data Mining» more  RSFDGRC 2005»
15 years 11 months ago
Feature Selection with Adjustable Criteria
Abstract. We present a study on a rough set based approach for feature selection. Instead of using significance or support, Parameterized Average Support Heuristic (PASH) consider...
Jingtao Yao, Ming Zhang
EACL
2006
ACL Anthology
15 years 7 months ago
Word Sense Induction: Triplet-Based Clustering and Automatic Evaluation
In this paper a novel solution to automatic and unsupervised word sense induction (WSI) is introduced. It represents an instantiation of the `one sense per collocation' obser...
Stefan Bordag
CORR
2002
Springer
132views Education» more  CORR 2002»
15 years 6 months ago
Robust Feature Selection by Mutual Information Distributions
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
Marco Zaffalon, Marcus Hutter
FGR
2006
IEEE
173views Biometrics» more  FGR 2006»
16 years 7 days ago
Facial Feature Detection and Tracking with Automatic Template Selection
We describe an accurate and robust method of locating facial features. The method utilises a set of feature templates in conjunction with a shape constrained search technique. The...
David Cristinacce, Timothy F. Cootes
FUZZIEEE
2007
IEEE
16 years 16 days ago
Survey of Rough and Fuzzy Hybridization
— This paper provides a broad overview of logical and black box approaches to fuzzy and rough hybridization. The logical approaches include theoretical, supervised learning, feat...
Pawan Lingras, Richard Jensen