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» Token Identification Using HMM and PPM Models
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CCS
2008
ACM
14 years 11 months ago
A general model of probabilistic packet marking for IP traceback
In this paper, we model Probabilistic Packet Marking (PPM) schemes for IP traceback as an identification problem of a large number of markers. Each potential marker is associated ...
Liming Lu, Mun Choon Chan, Ee-Chien Chang
BMCBI
2010
140views more  BMCBI 2010»
14 years 9 months ago
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection
Background: Liquid chromatography-mass spectrometry (LC-MS) is one of the major techniques for the quantification of metabolites in complex biological samples. Peak modeling is on...
Tianwei Yu, Hesen Peng
BMCBI
2006
119views more  BMCBI 2006»
14 years 9 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
PRL
2007
131views more  PRL 2007»
14 years 9 months ago
A new look at discriminative training for hidden Markov models
ct 7 Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. 8 One most popular technique is minimum classiï...
Xiaodong He, Li Deng
70
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SIBGRAPI
2008
IEEE
15 years 3 months ago
Crop Type Recognition Based on Hidden Markov Models of Plant Phenology
This work introduces a Hidden Markov Model (HMM) based technique to classify agricultural crops. The method recognizes different crops by analyzing their spectral profiles over a ...
P. B. C. Leite, Raul Queiroz Feitosa, A. R. Formag...