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» Geometric Clustering Using the Information Bottleneck Method
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ESWS
2007
Springer
15 years 6 months ago
SWHi System Description: A Case Study in Information Retrieval, Inference, and Visualization in the Semantic Web
Abstract. Search engines have become the most popular tools for finding information on the Internet. A real-world Semantic Web application can benefit from this by combining its ...
Ismail Fahmi, Junte Zhang, Henk Ellermann, Gosse B...
CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
15 years 6 months ago
Leveraging user query log: toward improving image data clustering
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
Hao Cheng, Kien A. Hua, Khanh Vu
CGIM
2003
15 years 5 months ago
A Novel Method for 3D Surface Mesh Segmentation
We propose a novel method for the problem of 3D surface mesh segmentation. This mesh segmentation method is based on differential geometry and geodesic distance information. In ou...
Thitiwan Srinark, Chandra Kambhamettu
WSCG
2004
159views more  WSCG 2004»
15 years 5 months ago
A Fast Method for Applying Rigid Transformations to Volume Data
Volume rendering is a widespread method for displaying graphical models in fields such as medical visualization or engineering. The required image information is stored in a volum...
Jan Fischer, Ángel del Río
ICDM
2006
IEEE
145views Data Mining» more  ICDM 2006»
15 years 10 months ago
Stability Region Based Expectation Maximization for Model-based Clustering
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...