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» On the Blind Classification of Time Series
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ESANN
2006
13 years 10 months ago
Using distributed genetic programming to evolve classifiers for a brain computer interface
The objective of this paper is to illustrate the application of genetic programming to evolve classifiers for multi-channel time series data. The paper shows how high performance d...
Eva Alfaro-Cid, Anna Esparcia-Alcázar, Ken ...
INFOCOM
2009
IEEE
14 years 3 months ago
Blind Detection of Spread Spectrum Flow Watermarks
— Recently, the direct sequence spread-spectrum (DSSS)-based technique has been proposed to trace anonymous network flows. In this technique, homogeneous pseudo-noise (PN) codes...
Weijia Jia, Fung Po Tso, Zhen Ling, Xinwen Fu, Don...
CIDM
2009
IEEE
14 years 16 days ago
Clustering-based activity classification with a wrist-worn accelerometer using basic features
Abstract-- Automatic recognition of activities using time series data collected from exercise can facilitate development of applications that motivate people to exercise more frequ...
Pekka Siirtola, Perttu Laurinen, Eija Haapalainen,...
MIAR
2006
IEEE
14 years 2 months ago
Pulsative Flow Segmentation in MRA Image Series by AR Modeling and EM Algorithm
Segmentation of CSF and pulsative blood flow, based on a single phase contrast MRA (PC-MRA) image can lead to imperfect classifications. In this paper, we present a novel automated...
Ali Gooya, Hongen Liao, Kiyoshi Matsumiya, Ken Mas...
CORR
2007
Springer
116views Education» more  CORR 2007»
13 years 8 months ago
The Extended Edit Distance Metric
Similarity search is an important problem in information retrieval. This similarity is based on a distance. Symbolic representation of time series has attracted many researchers re...
Muhammad Marwan Muhammad Fuad, Pierre-Francois Mar...