Due to a reorganisation we are not able anymore to maintain these files.
They will be removed in the near future.
Pattern Recognition Research Area
Area Description
Pattern recognition is the research area that studies the
operation and design of systems that recognize patterns in
data. It encloses subdisciplines like discriminant analysis,
feature extraction, error estimation, cluster analysis
(together sometimes called statistical pattern recognition),
grammatical inference and parsing (sometimes called syntactical
pattern recognition). Important application areas are image
analysis, character recognition, speech analysis, man and
machine diagnostics, person identification and industrial
inspection.
Related Areas
In the following areas closely related systems are studied or
similar tools are developed.
Artificial Intelligence (expert systems and machine
learning)
Neural Networks
Vision
Cognitive Sciences and Biological Perception
Mathematical Statistics (hypothesis testing and parameter
estimation)
Nonlinear Optimization
Exploratory Data Analysis
Click here for a
list of monographs introducing pattern recognition and related
fields.
