代码搜索：Quantization
找到约 3,139 项符合「Quantization」的源代码
代码结果 3,139
www.eeworm.com/read/357874/10199195
m lvq3.m
function [patterns, targets] = LVQ3(train_patterns, train_targets, Nmu, plot_on)
%Reduce the number of data points using linear vector quantization
%Inputs:
% train_patterns - Input patterns
% t
www.eeworm.com/read/349842/10796776
m lvq1.m
function [features, targets] = LVQ1(train_features, train_targets, Nmu, region, plot_on)
%Reduce the number of data points using linear vector quantization
%Inputs:
% train_features - Input featu
www.eeworm.com/read/349842/10796964
m lvq3.m
function [features, targets] = LVQ3(train_features, train_targets, Nmu, region, plot_on)
%Reduce the number of data points using linear vector quantization
%Inputs:
% train_features - Input featu
www.eeworm.com/read/461868/7215222
cpp dl_quant.cpp
//
// This has been modified from Dennis Lee's original version
//
/*
* DL1 Quantization
* ================
*
* File: dl1quant.c
* Author: Dennis Lee E-mail: denlee@ecf.utoronto.ca
www.eeworm.com/read/442927/7641976
m vqdataplot.m
function vqDataPlot(data, center)
% vqDataPlot: Plot the result of vector quantization (used in kmeans.m and vqLBG.m)
% Find U (Copied from vqKmeans.m)
dim = size(data, 1);
dataNum = size(data,
www.eeworm.com/read/399996/7816768
m lvq1.m
function [patterns, targets] = LVQ1(train_patterns, train_targets, Nmu, plot_on)
%Reduce the number of data points using linear vector quantization
%Inputs:
% train_patterns - Input patterns
% t
www.eeworm.com/read/399996/7817051
m lvq3.m
function [patterns, targets] = LVQ3(train_patterns, train_targets, Nmu, plot_on)
%Reduce the number of data points using linear vector quantization
%Inputs:
% train_patterns - Input patterns
% t
www.eeworm.com/read/397106/8067655
m lvq1.m
function [features, targets] = LVQ1(train_features, train_targets, Nmu, region, plot_on)
%Reduce the number of data points using linear vector quantization
%Inputs:
% train_features - Input features
www.eeworm.com/read/397106/8067828
m lvq3.m
function [features, targets] = LVQ3(train_features, train_targets, Nmu, region, plot_on)
%Reduce the number of data points using linear vector quantization
%Inputs:
% train_features - Input features
www.eeworm.com/read/397099/8068822
m lvq1.m
function [patterns, targets] = LVQ1(train_patterns, train_targets, Nmu, plot_on)
%Reduce the number of data points using linear vector quantization
%Inputs:
% train_patterns - Input patterns
% t