代码搜索：Patterns
找到约 8,017 项符合「Patterns」的源代码
代码结果 8,017
www.eeworm.com/read/188503/8535725
h mpeg2syntaxcodes.h
/* mpeg2syntaxcodes.h - Identifying bit-patterns and codes for MPEG2 syntax */
#ifndef _MPEG2SYNTAXCODES_H
#define _MPEG2SYNTAXCODES_H
/* Copyright (C) 1996, MPEG Software Simulation Group. All Righ
www.eeworm.com/read/188280/8552271
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a polynomial kernel, for example
%
% K = evaluate(kernel, x1, x2);
%
% where x1 and x2 are matrices containing input patterns, wh
www.eeworm.com/read/183443/9158962
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a polynomial kernel, for example
%
% K = evaluate(kernel, x1, x2);
%
% where x1 and x2 are matrices containing input patterns, wh
www.eeworm.com/read/181389/9256550
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a polynomial kernel, for example
%
% K = evaluate(kernel, x1, x2);
%
% where x1 and x2 are matrices containing input patterns, wh
www.eeworm.com/read/181388/9256698
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a polynomial kernel, for example
%
% K = evaluate(kernel, x1, x2);
%
% where x1 and x2 are matrices containing input patterns, wh
www.eeworm.com/read/168045/9941036
m som_1d.m
function [W_out, p_out]=som_1d(P, nsofm, epochs, phas, W)
% function W=som_1d(P, nsofm, lri, epochs, W)
%
% P - patterns
% nsofm - number of neurons
% epochs - number of epochs to trai
www.eeworm.com/read/351797/10609841
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a polynomial kernel, for example
%
% K = evaluate(kernel, x1, x2);
%
% where x1 and x2 are matrices containing input patterns, wh
www.eeworm.com/read/421962/10674097
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a polynomial kernel, for example
%
% K = evaluate(kernel, x1, x2);
%
% where x1 and x2 are matrices containing input patterns, wh
www.eeworm.com/read/273052/7102998
m evaluate.m
function K = evaluate(ker, x1, x2)
% EVALUATE
%
% Evaluate a polynomial kernel, for example
%
% K = evaluate(kernel, x1, x2);
%
% where x1 and x2 are matrices containing input patterns, wh