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KDD
2009
ACM
611views Data Mining» more  KDD 2009»
16 years 6 months ago
Fast 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-s...
Donghui Yan, Ling Huang, Michael I. Jordan
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
16 years 6 months ago
Anomaly pattern detection in categorical datasets
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
Kaustav Das, Jeff G. Schneider, Daniel B. Neill
ICRA
2006
IEEE
110views Robotics» more  ICRA 2006»
16 years 10 days ago
Speeding-up Rao-blackwellized SLAM
— Recently, Rao-Blackwellized particle filters have become a popular tool to solve the simultaneous localization and mapping problem. This technique applies a particle filter i...
Giorgio Grisetti, Gian Diego Tipaldi, Cyrill Stach...
WCW
2004
Springer
15 years 11 months ago
ShortCuts: Using Soft State to Improve DHT Routing
Distributed hash tables are increasingly being proposed as the core substrate for content delivery applications in the Internet, such as cooperative Web caches, Web index and sear...
Kiran Tati, Geoffrey M. Voelker
ICDCS
2010
IEEE
15 years 10 months ago
Stochastic Steepest-Descent Optimization of Multiple-Objective Mobile Sensor Coverage
—We propose a steepest descent method to compute optimal control parameters for balancing between multiple performance objectives in stateless stochastic scheduling, wherein the ...
Chris Y. T. Ma, David K. Y. Yau, Nung Kwan Yip, Na...