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PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
16 years 3 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
ISBI
2007
IEEE
16 years 23 days ago
Automated Segmentation of the Right Heart Using an Optimized Shells and Spheres Algorithm
We have developed a novel framework for medical image analysis, known as Shells and Spheres. This framework utilizes spherical operators of variable radius centered at each image ...
Aaron Cois, Ken J. Rockot, John M. Galeotti, Rober...
SMI
2010
IEEE
204views Image Analysis» more  SMI 2010»
15 years 4 months ago
Generalized PolyCube Trivariate Splines
Abstract—This paper develops a new trivariate hierarchical spline scheme for volumetric data representation. Unlike conventional spline formulations and techniques, our new frame...
Bo Li, Xin Li, Kexiang Wang, Hong Qin
MIDDLEWARE
2004
Springer
15 years 12 months ago
A grid service broker for scheduling distributed data-oriented applications on global grids
: The next generation of scientific experiments and studies, popularly called as e-Science, is carried out by large collaborations of researchers distributed around the world engag...
Srikumar Venugopal, Rajkumar Buyya, Lyle J. Winton
IJCAI
2003
15 years 7 months ago
Gaussian Process Models of Spatial Aggregation Algorithms
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
Naren Ramakrishnan, Christopher Bailey-Kellogg