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» Approximation Techniques for Spatial Data
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KDD
2004
ACM
158views Data Mining» more  KDD 2004»
14 years 9 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
ICCV
2005
IEEE
14 years 11 months ago
A Graph Cut Algorithm for Generalized Image Deconvolution
The goal of deconvolution is to recover an image x from its convolution with a known blurring function. This is equivalent to inverting the linear system y = Hx. In this paper we ...
Ashish Raj, Ramin Zabih
ACMMSP
2004
ACM
101views Hardware» more  ACMMSP 2004»
14 years 2 months ago
Metrics and models for reordering transformations
Irregular applications frequently exhibit poor performance on contemporary computer architectures, in large part because of their inefficient use of the memory hierarchy. Runtime ...
Michelle Mills Strout, Paul D. Hovland
VISSYM
2007
13 years 11 months ago
A Tri-Space Visualization Interface for Analyzing Time-Varying Multivariate Volume Data
The dataset generated by a large-scale numerical simulation may include thousands of timesteps and hundreds of variables describing different aspects of the modeled physical pheno...
Hiroshi Akiba, Kwan-Liu Ma
SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
14 years 6 months ago
Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.
Large amounts of remotely sensed data calls for data mining techniques to fully utilize their rich information content. In this paper, we study new means of discovery and summariz...
Wei Ding 0003, Tomasz F. Stepinski, Josue Salazar