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» A new similarity measure using hausdorff distance map
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SMC
2007
IEEE
14 years 2 months ago
Sense based organization of descriptive data
— In this paper we propose a new technique allowing to map descriptive data into relative distance space, which is based primarily on senses of the terms stored in our data. We u...
M. Shahriar Hossain, Monika Akbar, Rafal A. Angryk
IPPS
2005
IEEE
14 years 2 months ago
Some Issues in Solving the Anomaly Detection Problem using Immunological Approach
Results of an experimental study of an anomaly detection system based on the paradigm of artificial immune systems (AISs) are presented. Network traffic data are mapped into ant...
Franciszek Seredynski, Pascal Bouvry
ICPR
2006
IEEE
14 years 9 months ago
Isomap Based on the Image Euclidean Distance
Scientists find that the human perception is based on the similarity on the manifold of data set. Isometric feature mapping (Isomap) is one of the representative techniques of man...
Jie Chen, Ruiping Wang, Shiguang Shan, Wen Gao, Xi...
ICIP
2003
IEEE
14 years 10 months ago
Robust statistical registration of 3D ultrasound images using texture information
We investigate a new registration method for ultrasound volumes relying on on a statistical texture-basedsimilarity measure. Texture information is given by spatial Gabor filters ...
R. Francois, Ronan Fablet, Christian Barillot
IJCAI
2007
13 years 10 months ago
Semantic Smoothing of Document Models for Agglomerative Clustering
In this paper, we argue that the agglomerative clustering with vector cosine similarity measure performs poorly due to two reasons. First, the nearest neighbors of a document belo...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu