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ICDM
2009
IEEE
125views Data Mining» more  ICDM 2009»
15 years 4 months ago
A Fully Automated Method for Discovering Community Structures in High Dimensional Data
—Identifying modules, or natural communities, in large complex networks is fundamental in many fields, including social sciences, biological sciences and engineering. Recently s...
Jianhua Ruan
CSL
2010
Springer
14 years 9 months ago
Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maxi
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select...
Dong Yu, Balakrishnan Varadarajan, Li Deng, Alex A...
HPCC
2007
Springer
15 years 3 months ago
Optimizing Array Accesses in High Productivity Languages
One of the outcomes of DARPA’s HPCS program has been the creation of three new high productivity languages: Chapel, Fortress, and X10. While these languages have introduced impro...
Mackale Joyner, Zoran Budimlic, Vivek Sarkar
TITB
2010
138views Education» more  TITB 2010»
14 years 4 months ago
Local structure-based region-of-interest retrieval in brain MR images
The aging population and the growing amount of medical data have increased the need for automated tools in the neurology departments. Although the researchers have been developing ...
Devrim Unay, Ahmet Ekin, Radu S. Jasinschi
EGITALY
2006
14 years 11 months ago
Easy Access to Huge 3D Models of Works of Art
Automatic shape acquisition technologies evolved rapidly in recent years, and huge mass of 3D data can be easily produced. The high accuracy of range scanning technology makes the...
Marco Callieri, Federico Ponchio, Paolo Cignoni, R...