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KDD
2005
ACM
157views Data Mining» more  KDD 2005»
14 years 9 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
ISCAS
2011
IEEE
248views Hardware» more  ISCAS 2011»
13 years 26 days ago
SNR measurement based on linearity test for ADC BIST
—Linearity and spectral performance test contributes most cost of ADC test. This paper presents a new method for testing an ADC’s SNR from its linearity test data. The method d...
Jingbo Duan, Degang Chen
MM
2004
ACM
195views Multimedia» more  MM 2004»
14 years 2 months ago
Hierarchical clustering of WWW image search results using visual, textual and link information
We consider the problem of clustering Web image search results. Generally, the image search results returned by an image search engine contain multiple topics. Organizing the resu...
Deng Cai, Xiaofei He, Zhiwei Li, Wei-Ying Ma, Ji-R...
VISUALIZATION
1995
IEEE
14 years 21 days ago
Fast Multiresolution Surface Meshing
We present a new method for adaptive surface meshing and triangulationwhichcontrolsthelocallevel–of–detailofthesurface approximation by local spectral estimates. These estimat...
Oliver G. Staadt, Markus H. Gross, Roger Gatti
SODA
2010
ACM
189views Algorithms» more  SODA 2010»
14 years 6 months ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy