A new approach based on discrete hidden Markov model using Rocchio algorithm for the diagnosis of the brain diseases

Digital Signal Processing: A Review Journal

Volumn 20, Issue 3, 2010, Pages 923-934

  Uǧuz, Harun ^a   Arslan, Ahmet ^a  

^a SELCUK UNIVERSITY   (Turkey)

Author keywords

Discrete hidden Markov model; Maximum likelihood; Rocchio algorithm; Transcranial Doppler signals

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; EXTRACTION; FEATURE EXTRACTION; HIDDEN MARKOV MODELS; MAXIMUM LIKELIHOOD; NEURAL NETWORKS; SAMPLING;

CLASSIFICATION PERFORMANCE; DISCRETE HIDDEN MARKOV MODEL; DISCRETE HIDDEN MARKOV MODELS; FEATURE EXTRACTION AND CLASSIFICATION; FEATURE EXTRACTION STAGES; MAXIMUM LIKELIHOOD APPROACHES; ROCCHIO ALGORITHM; TRANSCRANIAL DOPPLER;

BRAIN;

EID: 77949485946     PISSN: 10512004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dsp.2009.11.001     Document Type: Article

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