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/316604/13520437
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/316604/13520520
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/314478/13566242
cpp dl1quant.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/359185/6352530
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/359185/6352587
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/493206/6398508
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/493206/6398597
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/481151/6643992
txt kmeans.txt
function [m, p, DistHist]=vqsplit(X,L)
% Vector Quantization: K-Means Algorithm with Spliting Method for Training
% NOT TESTED FOR CODEBOOK SIZES OTHER THAN POWERS OF BASE 2, E.G. 256, 512, ETC
% (
www.eeworm.com/read/410924/11264884
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/410924/11265055
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