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SSD
2005
Springer
153views Database» more  SSD 2005»
14 years 28 days ago
Change Detection in Time Series Data Using Wavelet Footprints
In this paper, we propose a novel approach to address the problem of change detection in time series data. Our approach is based on wavelet footprints proposed originally by the si...
Mehdi Sharifzadeh, Farnaz Azmoodeh, Cyrus Shahabi
ICASSP
2007
IEEE
14 years 1 months ago
Wavelet Footprints and Sparse Bayesian Learning for DNA Copy Number Change Analysis
Alterations in the number of DNA copies are very common in tumor cells and may have a very important role in cancer development and progression. New array platforms provide means ...
Roger Pique-Regi, En-Shuo Tsau, Antonio Ortega, Ro...
IGARSS
2009
13 years 5 months ago
The Quest for Automated Land Cover Change Detection using Satellite Time Series Data
This paper shows that a feedforward Multilayer Perceptron (MLP) operating over a temporal sliding window of multispectral time series MODerate-resolution Imaging Spectroradiometer...
Brian P. Salmon, Jan C. Olivier, Waldo Kleynhans, ...
SDM
2009
SIAM
343views Data Mining» more  SDM 2009»
14 years 4 months ago
Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation.
Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been acti...
Masashi Sugiyama, Yoshinobu Kawahara
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
14 years 1 months ago
Clustering Distributed Time Series in Sensor Networks
Event detection is a critical task in sensor networks, especially for environmental monitoring applications. Traditional solutions to event detection are based on analyzing one-sh...
Jie Yin, Mohamed Medhat Gaber