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» Fuzzy Clustering Based on Total Uncertainty Degree
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IJSWIS
2006
107views more  IJSWIS 2006»
13 years 7 months ago
Knowledge-Assisted Image Analysis Based on Context and Spatial Optimization
In this article, an approach to semantic image analysis is presented. Under the proposed approach, ontologiesareusedtocapturegeneral,spatial,andcontextualknowledgeofadomain,andage...
Georgios Th. Papadopoulos, Phivos Mylonas, Vasilei...
PR
2006
127views more  PR 2006»
13 years 7 months ago
Unsupervised possibilistic clustering
In fuzzy clustering, the fuzzy c-means (FCM) clustering algorithm is the best known and used method. Since the FCM memberships do not always explain the degrees of belonging for t...
Miin-Shen Yang, Kuo-Lung Wu
RSCTC
1993
Springer
96views Fuzzy Logic» more  RSCTC 1993»
13 years 11 months ago
Trusting an Information Agent
: While the common kinds of uncertainties in databases (e.g., null values, disjunction, corrupt/missing data, domain mismatch, etc.) have been extensively studied, a relatively une...
Hasan M. Jamil, Fereidoon Sadri
ICTAI
2002
IEEE
14 years 11 days ago
A Clustering Based Approach to Efficient Image Retrieval
This paper addresses the issue of effective and efficient content based image retrieval by presenting a novel indexing and retrieval methodology that integrates color, texture, an...
Ruofei Zhang, Zhongfei Zhang
IPMI
2007
Springer
14 years 8 months ago
A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis
This paper presents a novel statistical fuzzy-segmentation method for diffusion tensor (DT) images and magnetic resonance (MR) images. Typical fuzzy-segmentation schemes, e.g. thos...
Suyash P. Awate, James C. Gee