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EDBT
2004
ACM
142views Database» more  EDBT 2004»
14 years 4 months ago
Iterative Incremental Clustering of Time Series
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dim...
ICIP
2005
IEEE
14 years 6 months ago
The M-term pursuit for image representation and progressive compression
This paper introduces a sparse signal representation algorithm in redundant dictionaries, called the M-Term Pursuit (MTP), with an application to image representation and scalable ...
Adel Rahmoune, Pierre Vandergheynst, Pascal Frossa...
WSC
2001
13 years 5 months ago
Improving standardized time series methods by permuting path segments
We describe an extension procedure for constructing new standardized time series procedures from existing ones. The approach is based on averaging over sample paths obtained by pe...
James M. Calvin, Marvin K. Nakayama
BMCBI
2010
101views more  BMCBI 2010»
13 years 4 months ago
Hidden Markov model speed heuristic and iterative HMM search procedure
Background: Profile hidden Markov models (profile-HMMs) are sensitive tools for remote protein homology detection, but the main scoring algorithms, Viterbi or Forward, require con...
L. Steven Johnson, Sean R. Eddy, Elon Portugaly
MOR
2006
73views more  MOR 2006»
13 years 4 months ago
Permuted Standardized Time Series for Steady-State Simulations
We describe an extension procedure for constructing new standardized time series procedures from existing ones. The approach is based on averaging over sample paths obtained by per...
James M. Calvin, Marvin K. Nakayama