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ICDM
2005
IEEE
189views Data Mining» more  ICDM 2005»
14 years 1 months ago
Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
Jie Yin, Qiang Yang
BIBE
2005
IEEE
14 years 1 months ago
Improved Phylogenetic Motif Detection Using Parsimony
We have recently demonstrated (La et al, Proteins, 58:2005) that sequence fragments approximating the overall familial phylogeny, called phylogenetic motifs (PMs), represent a pro...
Usman Roshan, Dennis R. Livesay, David La
ECAI
2004
Springer
14 years 28 days ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana
CCGRID
2003
IEEE
14 years 25 days ago
A Parallel FPT Application For Clusters
Fixed-parameter tractability (FPT) techniques have recently been successful in solving NP-complete problem instances of practical importance which were too large to be solved with...
James Cheetham, Frank K. H. A. Dehne, Andrew Rau-C...
BMCBI
2008
153views more  BMCBI 2008»
13 years 7 months ago
Version VI of the ESTree db: an improved tool for peach transcriptome analysis
Background: The ESTree database (db) is a collection of Prunus persica and Prunus dulcis EST sequences that in its current version encompasses 75,404 sequences from 3 almond and 1...
Barbara Lazzari, Andrea Caprera, Alberto Vecchiett...