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CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
15 years 10 months ago
Optimal sensor hop selection: Sensor energy minimization and network lifetime maximization with guaranteed system performance
— In this paper we consider state estimation carried over a sensor network. A fusion center forms a local multi-hop tree of sensors and gateways and fuses the data into a state e...
Ling Shi, Karl Henrik Johansson, Richard M. Murray
MMSP
2008
IEEE
125views Multimedia» more  MMSP 2008»
15 years 10 months ago
Selective use of multiple entropy models in audio coding
—The use of multiple entropy models for Huffman or arithmetic coding is widely used to improve the compression efficiency of many algorithms when the source probability distribu...
Sanjeev Mehrotra, Wei-Ge Chen
ICCBR
2005
Springer
15 years 9 months ago
Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game
While several researchers have applied case-based reasoning techniques to games, only Ponsen and Spronck (2004) have addressed the challenging problem of learning to win real-time ...
David W. Aha, Matthew Molineaux, Marc J. V. Ponsen
ICTAI
2002
IEEE
15 years 8 months ago
Data Mining for Selective Visualization of Large Spatial Datasets
Data mining is the process of extracting implicit, valuable, and interesting information from large sets of data. Visualization is the process of visually exploring data for patte...
Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang, Ruli...
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
15 years 5 months ago
Feature Selection for Nonlinear Kernel Support Vector Machines
An easily implementable mixed-integer algorithm is proposed that generates a nonlinear kernel support vector machine (SVM) classifier with reduced input space features. A single ...
Olvi L. Mangasarian, Gang Kou