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Recognition 的代码
makefile.aix
# **********************************************************
# Project: NIST HSF Recognition System
# SubTree: ./hsf/src/bin/mis2pat1
# Filename: makefile.mak
# Programmer: Michael D. Garris
# Org
makefile.lnx
# **********************************************************
# Project: NIST HSF Recognition System
# SubTree: ./hsf/src/bin/mis2pat1
# Filename: makefile.mak
# Programmer: Michael D. Garris
# Org
makefile.mak
# **********************************************************
# Project: NIST HSF Recognition System
# SubTree: ./hsf/src/bin/mis2pat1
# Filename: makefile.mak
# Programmer: Michael D. Garris
# Org
makefile.sgi
# **********************************************************
# Project: NIST HSF Recognition System
# SubTree: ./hsf/src/bin/mis2pat1
# Filename: makefile.mak
# Programmer: Michael D. Garris
# Org
makefile.cyg
# **********************************************************
# Project: NIST HSF Recognition System
# SubTree: ./hsf/src/bin/mis2pat1
# Filename: makefile.mak
# Programmer: Michael D. Garris
# Org
makefile.sol
# **********************************************************
# Project: NIST HSF Recognition System
# SubTree: ./hsf/src/bin/mis2pat1
# Filename: makefile.mak
# Programmer: Michael D. Garris
# Org
cmpwin.m
function [win]=cmpwin(mins,maxs,xborder,yborder)
%
% [win]=cmpwin(mins,maxs,xborder,yborder)
%
% CMPWIN computes appropriate size of the axes.
%
% Statistical Pattern Recognition Toolbox, Vojte
dis_arm_opcodes.h
/*
* dis_arm_opcodes.h
*
* Opcode recognition tables for ARM processors.
* Support for ARM and THUMB instruction sets.
*
* by Nick Patavalis (npat@inaccessnetworks.com)
*
* This code
lalr_transition.java
package com.sun.java_cup.internal;
/** This class represents a transition in an LALR viable prefix recognition
* machine. Transitions can be under terminals for non-terminals. They are
* inter
knnrloo.m
function [recogRate, hitIndex, nearestIndex] = knnrLoo(DS, param, plotOpt)
%knnrLoo: Leave-one-out recognition rate of KNNR
% Usage: [recogRate, hitIndex, nearestIndex] = knnrLoo(DS, param, plotOpt)