代码搜索：Pattern recognition
找到约 10,000 项符合「Pattern recognition」的源代码
代码结果 10,000
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java regexdemo1.java
package chapter8;
import java.util.regex.Pattern;
public class RegexDemo1 {
public static void main(String[] args) {
// 生成一个Pattern,同时编译一个正则表达式
Pattern p = Pattern.compile("[/]+");
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m lbp.m
%LBP returns the local binary pattern image or LBP histogram of an image.
% J = LBP(I,R,N,MAPPING,MODE) returns either a local binary pattern
% coded image or the local binary pattern histogram of
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m lbp.m
%LBP returns the local binary pattern image or LBP histogram of an image.
% J = LBP(I,R,N,MAPPING,MODE) returns either a local binary pattern
% coded image or the local binary pattern histogram of
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js numerical_data_test.js
var numericalString = "3.14159265";
var characterString = "3 point 1";
var pattern = /^-?\d+(\.\d+)?$/;
var a = pattern.test(numericalString);
var b = pattern.test(characterString);
alert("String 1:
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txt irissfs01.txt
Construct 10 KNN models, each with up to 4 inputs selected from 4 candidates...
Selecting input 1:
Model 1/10:1 --> Recognition rate = 58.7%
Model 2/10:2 --> Recognition rate = 48.0%
Model 3/1
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txt random6sfs01.txt
Construct 21 KNN models, each with up to 6 inputs selected from 6 candidates...
Selecting input 1:
Model 1/21:1 --> Recognition rate = 51.0%
Model 2/21:2 --> Recognition rate = 51.5%
Model 3/2
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txt feaselbysfs4iris01.txt
Construct 10 KNN models, each with up to 4 inputs selected from 4 candidates...
Selecting input 1:
Model 1/10:1 --> Recognition rate = 58.7%
Model 2/10:2 --> Recognition rate = 48.0%
Model 3/1
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txt featureselectsequential02.txt
Construct 21 KNN models, each with up to 6 inputs selected from 6 candidates...
Selecting input 1:
Model 1/21:1 --> Recognition rate = 48.0%
Model 2/21:2 --> Recognition rate = 55.0%
Model 3/2
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mnu allpatt.mnu
DRILL#PATT
Single
Selected axis will be considered as single
#
Pattern
Drill all members of pattern represented by selected axis