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INFOSCALE
2006
ACM
14 years 1 months ago
Rough concept lattice based ontology similarity measure
With the rapid development of the semantic web, it is likely that the number of ontologies will greatly increase during the next few years, which leads to the arising demand for r...
Yi Zhao, Wolfgang A. Halang
TIP
2002
133views more  TIP 2002»
13 years 7 months ago
Wavelet-based rotational invariant roughness features for texture classification and segmentation
In this paper, we introduce a rotational invariant feature set for texture segmentation and classification, based on an extension of fractal dimension (FD) features. The FD extract...
Dimitrios Charalampidis, Takis Kasparis
SMI
2003
IEEE
143views Image Analysis» more  SMI 2003»
14 years 29 days ago
Rough Surface Modeling Using Surface Growth
In this paper, we present a novel modeling method for synthesizing rough surfaces using discrete surface growth models. We employ a two-pass method. Initial point cluster data is ...
Yootai Kim, Raghu Machiraju, David Thompson
ICCBR
2001
Springer
14 years 5 days ago
A Fuzzy-Rough Approach for Case Base Maintenance
Abstract. This paper proposes a fuzzy-rough method of maintaining CaseBased Reasoning (CBR) systems. The methodology is mainly based on the idea that a large case library can be tr...
Guoqing Cao, Simon C. K. Shiu, Xizhao Wang
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 9 months ago
Roughly Balanced Bagging for Imbalanced Data
Imbalanced class problems appear in many real applications of classification learning. We propose a novel sampling method to improve bagging for data sets with skewed class distri...
Shohei Hido, Hisashi Kashima