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» On the Power of Local Orientations
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ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
14 years 1 months ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan
JAR
2000
123views more  JAR 2000»
13 years 8 months ago
Local Search Algorithms for SAT: An Empirical Evaluation
Local search algorithms are among the standard methods for solving hard combinatorial problems from various areas of Artificial Intelligence and Operations Research. For SAT, some ...
Holger H. Hoos, Thomas Stützle
ICASSP
2011
IEEE
13 years 21 days ago
Robust localization of multiple sources in reverberant environments using EB-ESPRIT with spherical microphone arrays
Spherical microphone array eigenbeam (EB)-ESPRIT gives an elegant closed-form solution for 3D broadband source localization based on the spherical harmonics (eigenbeam) framework....
Haohai Sun, Heinz Teutsch, Edwin Mabande, Walter K...
SIGSOFT
2005
ACM
14 years 9 months ago
SOBER: statistical model-based bug localization
Automated localization of software bugs is one of the essential issues in debugging aids. Previous studies indicated that the evaluation history of program predicates may disclose...
Chao Liu 0001, Jiawei Han, Long Fei, Samuel P. Mid...
3DPVT
2006
IEEE
162views Visualization» more  3DPVT 2006»
14 years 3 months ago
How Far Can We Go with Local Optimization in Real-Time Stereo Matching
Applications such as robot navigation and augmented reality require high-accuracy dense disparity maps in real-time and online. Due to time constraint, most realtime stereo applic...
Liang Wang, Mingwei Gong, Minglun Gong, Ruigang Ya...