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» Particle Swarms for Feature Extraction of Hyperspectral Data
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CEC
2008
IEEE
14 years 5 months ago
Reduced polynomial neural swarm net for classification task in data mining
—In this paper, we proposed a reduced polynomial neural swarm net (RPNSN) for the task of classification. Classification task is one of the most studied tasks of data mining. In ...
Bijan Bihari Misra, Satchidananda Dehuri, Pradipta...
ISNN
2005
Springer
14 years 4 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang
ICIP
2006
IEEE
15 years 22 days ago
Online Video Stabilization Based on Particle Filters
Particle filters have been introduced as a powerful tool to estimate the posterior density of nonlinear systems. These filters are also capable of processing data online as requir...
Chong Chen, Dan Schonfeld, Junlan Yang, Magdi A. M...
ICASSP
2011
IEEE
13 years 2 months ago
Human gait parameter estimation based on micro-doppler signatures using particle filters
Monitoring and tracking human activities around restricted areas is an important issue in security and surveillance applications. The movement of different parts of the human body...
M. B. Guldogan, Fredrik Gustafsson, Umut Orguner, ...
VIS
2009
IEEE
300views Visualization» more  VIS 2009»
15 years 8 days ago
Predictor-Corrector Schemes for Visualization of Smoothed Particle Hydrodynamics Data
Abstract--In this paper we present a method for vortex core line extraction which operates directly on the smoothed particle hydrodynamics (SPH) representation and, by this, genera...
Benjamin Schindler, Raphael Fuchs, John Biddisco...