Simultaneous learning of decision rules and important attributes for classification problems in image analysis

Image and Vision Computing

Volumn 12, Issue 3, 1994, Pages 193-198

  Pudil, P ^a   Novovičová, J ^a   Kittler, J ^a  

^a UNIVERSITY OF SURREY   (United Kingdom)

Author keywords

classification; feature selection; pdf estimation

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL COMPLEXITY; DECISION SUPPORT SYSTEMS; IMAGE ANALYSIS; INFERENCE ENGINES; LEARNING SYSTEMS; PARAMETER ESTIMATION;

AUTOMATIC MACHINE LEARNING; DECISION RULES; FEATURE SELECTION; SIMULTANEOUS LEARNING;

COMPUTER VISION;

EID: 0028419636     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/0262-8856(94)90072-8     Document Type: Article

References (14)

1. Patterns in pattern recognition 1968–1974
2. Maximum likelihood from incomplete data via the EM algorithm
3. Mixture densities, maximum likelihood and the EM algorithm
4. Multivariate statistical pattern recognition with non-reduced dimensionality
5. Approximating discrete probability distributions
6. On the use of I-divergence for generating distrbution approximations
7. Minimum divergence principle in statistical estimation
8. Colour texture classification using features from colour histograms
9. Statistical approach to pattern recognition: Theory and practical solution by means of PREDITAS system
10. A comparative evaluation of floating search methods for feature selection