Using Bayesian neural networks to classify forest scenes

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3522, Issue , 1998, Pages 66-73

  Vehtari, Aki ^a   Heikkonen, Jukka ^a   Lampinen, Jouko ^a   Juujarvi, Jouni ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPUTER VISION; LEARNING SYSTEMS; MARKOV PROCESSES; MONTE CARLO METHODS; MULTILAYER NEURAL NETWORKS; OPTIMIZATION; REGRESSION ANALYSIS; TREES (MATHEMATICS);

BAYESIAN LEARNING; CLASSIFICATION AND REGRESSION TREE (CART) METHOD; EARLY STOP COMMITTEE METHOD; EVIDENCE FRAMEWORK METHOD; GAUSSIAN APPROXIMATION; MARKOV CHAIN MONTE CARLO METHOD (MCMC);

PATTERN RECOGNITION SYSTEMS;

EID: 0032293052     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)