代码搜索:preprocessing

找到约 856 项符合「preprocessing」的源代码

代码结果 856
www.eeworm.com/read/405069/11472312

m competitive_learning.m

function [patterns, targets, label, W] = Competitive_learning(train_patterns, train_targets, params, plot_on) % Perform preprocessing using a competitive learning network % Inputs: % patterns -
www.eeworm.com/read/258845/11838343

c bitap.c

/* Copyright (c) 1991 Sun Wu and Udi Manber. All Rights Reserved. */ /* if the pattern is not simple fixed pattern, then after preprocessing */ /* and generating the masks, the program goes here. fou
www.eeworm.com/read/154972/11908929

at compile.at

# -*- Autotest -*- AT_BANNER([Low level compiling/preprocessing macros.]) # Copyright (C) 2000, 2001, 2003 Free Software Foundation, Inc. # # This program is free software; you can redistribut
www.eeworm.com/read/253585/12213077

m char3.m

%% Character Recognition Example (III):Training a Simple NN for %% classification %% Read the image I = imread('sample.bmp'); %% Image Preprocessing img = edu_imgpreprocess(I); for cnt = 1:5
www.eeworm.com/read/286092/4042425

aux mansearchhelp.aux

Content-type: text/html Manual Pages - Search Help
www.eeworm.com/read/286092/4042426

aux mansearch.aux

Content-type: text/html Manual Pages - Text Search
www.eeworm.com/read/429426/1948690

py fss6.py

# Author: B Zupan # Version: 1.0 # Description: Same as fss5.py but uses FilterRelieff class from orngFSS # Category: preprocessing # Uses: adult_saple.tab # Referenced: orngF
www.eeworm.com/read/429426/1948749

py domain4.py

# Description: Shows how to select examples based on their attribute values # Category: preprocessing # Uses: imports-85 # Referenced: domain.htm import orange def report_prob(head
www.eeworm.com/read/386597/2570222

m competitive_learning.m

function [patterns, targets, label, W] = Competitive_learning(train_patterns, train_targets, params, plot_on) % Perform preprocessing using a competitive learning network % Inputs: % patterns -
www.eeworm.com/read/474535/6811788

m wiener1.m

function resim = Wiener(ifbl, LEN, THETA, SNR) %Preprocessing %Performing Median Filter before restoring the blurred image ifbl = medfilt2(abs(ifbl)); %Converting to frequency domain fbl