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SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
12 years 11 months ago
Clustered low rank approximation of graphs in information science applications
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
Berkant Savas, Inderjit S. Dhillon
IV
2006
IEEE
173views Visualization» more  IV 2006»
14 years 3 months ago
European Research Forum Panel Session Envisioning Research Challenges in Visual Analytics
Visual Analytics is the science of analytical reasoning supported by interactive visual interfaces. People use visual analytics tools and techniques to synthesize information; der...
Mikael Jern, Ebad Banissi, Gennady L. Andrienko, W...
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
11 years 11 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang
TVCG
2010
147views more  TVCG 2010»
13 years 7 months ago
"behaviorism": a framework for dynamic data visualization
— While a number of information visualization software frameworks exist, creating new visualizations, especially those that involve novel visualization metaphors, interaction tec...
Angus Forbes, Tobias Höllerer, George Legrady
TASLP
2008
143views more  TASLP 2008»
13 years 9 months ago
Strategies to Improve the Robustness of Agglomerative Hierarchical Clustering Under Data Source Variation for Speaker Diarizatio
Many current state-of-the-art speaker diarization systems exploit agglomerative hierarchical clustering (AHC) as their speaker clustering strategy, due to its simple processing str...
K. J. Han, S. Kim, S. S. Narayanan