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Recognition 的代码
agent.java
package IrisRecog;
/**
* Agent.java
*
* Represents the agent that is performing all of the functions needed in iris
* recognition. The agent has a primitive memory to store those eyes that
contents.m
%Pattern Recognition Tools (PRTOOLS 3.1.7)
% Version 1 February 2002 (after PRSD course)
%
%Datasets and Mappings
%---------------------
%dataset Define and retrieve dataset from datamatrix and la
prtools.m
%Pattern Recognition Tools (PRTOOLS 3.1.7)
% Version 1 February 2002 (after PRSD course)
%
%Datasets and Mappings
%---------------------
%dataset Define and retrieve dataset from datamatrix and la
contents.m
% Statistical Pattern Recognition Toolbox (STPRtool).
% Version 2.04 22-Dec-2004
%
% Bayesian classification.
% bayescls - Bayesian classifier with reject option.
% bayesdf
contents.m
% Pattern Recognition Tools
% Version 4.1.4 11-Oct-2008
%
%Datasets and Mappings (just most important routines)
%---------------------
%dataset Define dataset from datamatrix and labels
%datasets
prtools.m
% Pattern Recognition Tools
% Version 4.1.4 11-Oct-2008
%
%Datasets and Mappings (just most important routines)
%---------------------
%dataset Define dataset from datamatrix and labels
%datasets
contents.m
% Visualization for pattern recognition.
%
% pandr - Visualizes solution of the Generalized Anderson's task.
% pboundary - Plots decision boundary of given classifier in 2D.
% pgauss
contents.m
% Visualization for pattern recognition.
%
% pandr - Visualizes solution of the Generalized Anderson's task.
% pboundary - Plots decision boundary of given classifier in 2D.
% pgauss
contents.m
% Visualization for pattern recognition.
%
% pandr - Visualizes solution of the Generalized Anderson's task.
% pboundary - Plots decision boundary of given classifier in 2D.
% pgauss
contents.m
% Statistical Pattern Recognition Toolbox.
%
% Contents
%
% bayes - (dir) Bayes classification.
% datasets - (dir) Functions for handling with data sets.
% generalp - (dir) General purpose