Contents
Contents
Introduction to PRTools
What can be expected
How to use the manual
PRTools basics
PRTools definitions
A basic PRTools program
Example on image classification
Example on face classification
Example on silhouette classification
Datasets
Dataset background
Dataset definition
Dataset overload
Dataset, creation of artificial datasets
Dataset download of real world datasets: prdatasets
Dataset commands
Dataset details
Label types and conversion rules
Label type
Crisp labels
Soft labels
Target labels
Conversion rules
Multi-labeling system
Feature domain testing
Feature labels
Classification matrix
Image handling
Missing data
Missing labels
Dataset examples
Mappings
Mapping background
Mapping definition
Mapping overload
Mapping types
Mapping commands
Mapping combining
Stacked combining
Parallel combining
Sequential combining
Dyadic combining
Programming mappings
Programming fixed mappings
Programming trainable mappings and classifiers
Programming combiner mappings
Mapping details
Affine mappings
Mapping batch mode
Datafiles
Datafile background
Datafile definition
Datafile overload
Datafile download: prdatafiles
Datafile use
Datafile details
Datafile examples
Representations
Representation background
Representation preprocessing
Representation by features
Representation by pixels
Representation by kernels
Representation by dissimilarities
Representation of pixels
Feature space operations
Feature selection
Feature reduction
Feature space transformations
Classification
Classification - linear and quadratic
Classification by support vector machines
Classification by neural networks
Classification - various
Classification - special classifiers
Classification - trained combiners
Classification - fixed combiners
Classification related routines
Details
PRTools memory handling
PRTools waitbar
PRTools warnings
PRTools structural indexing
Contents
Footnotes
Navigation
R.P.W. Duin
, January 28, 2013
Contents
