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ICIAR
2009
Springer
14 years 16 days ago
Abnormal Behavior Recognition Using Self-Adaptive Hidden Markov Models
A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper. In this model, if an unknown sequence cannot be classified into an...
Jun Yin, Yan Meng
ACCV
2009
Springer
14 years 2 months ago
3D Reconstruction of Human Motion and Skeleton from Uncalibrated Monocular Video
Abstract. This paper introduces a new model-based approach for simultaneously reconstructing 3D human motion and full-body skeletal size from a small set of 2D image features track...
Yen-Lin Chen, Jinxiang Chai
BMCBI
2004
139views more  BMCBI 2004»
13 years 7 months ago
mlstdbNet - distributed multi-locus sequence typing (MLST) databases
Background: Multi-locus sequence typing (MLST) is a method of typing that facilitates the discrimination of microbial isolates by comparing the sequences of housekeeping gene frag...
Keith A. Jolley, Man-Suen Chan, Martin C. J. Maide...
BMCBI
2010
142views more  BMCBI 2010»
13 years 8 months ago
pplacer: linear time maximum-likelihood and Bayesian phylogenetic placement of sequences onto a fixed reference tree
Background: Likelihood-based phylogenetic inference is generally considered to be the most reliable classification method for unknown sequences. However, traditional likelihood-ba...
Frederick A. Matsen III, Robin B. Kodner, E. Virgi...
BMCBI
2005
144views more  BMCBI 2005»
13 years 7 months ago
Redefinition of Affymetrix probe sets by sequence overlap with cDNA microarray probes reduces cross-platform inconsistencies in
Background: Comparison of data produced on different microarray platforms often shows surprising discordance. It is not clear whether this discrepancy is caused by noisy data or b...
Scott L. Carter, Aron C. Eklund, Brigham H. Mecham...