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FLAIRS
2004
13 years 8 months ago
Adaptive K-Means Clustering
Clustering is used to organize data for efficient retrieval. One of the problems in clustering is the identification of clusters in given data. A popular technique for clustering ...
Sanjiv K. Bhatia
ENGL
2007
148views more  ENGL 2007»
13 years 7 months ago
A General Reflex Fuzzy Min-Max Neural Network
—“A General Reflex Fuzzy Min-Max Neural Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of supervised, unsupervised a...
Abhijeet V. Nandedkar, Prabir Kumar Biswas
AAAI
2006
13 years 8 months ago
Semantic Tagging at the Sense Level
This paper summarizes our research in the area of semantic tagging at the word and sense levels and sets the ground for a new approach to text-level sentiment annotation using a c...
Alina Andreevskaia, Sabine Bergler
CVPR
2007
IEEE
14 years 9 months ago
Spectral Matting
We present spectral matting: a new approach to natural image matting that automatically computes a set of fundamental fuzzy matting components from the smallest eigenvectors of a ...
Anat Levin, Alex Rav-Acha, Dani Lischinski
JUCS
2010
176views more  JUCS 2010»
13 years 5 months ago
An Approach to Generation of Decision Rules
: Classical classification and clustering based on equivalence relations are very important tools in decision-making. An equivalence relation is usually determined by properties of...
Zhang Mingyi, Danning Li, Zhang Ying