代码搜索：minimum
找到约 5,594 项符合「minimum」的源代码
代码结果 5,594
www.eeworm.com/read/309305/13674732
m filter_minimum.m
function varargout = filter_minimum(varargin)
if nargin == 0
p1 = struct( ...
'Name', 'Radius (in pixel)', ...
'Style', 'integer', ...
'DefaultValue', 3, ...
'Max', 64, .
www.eeworm.com/read/308927/13687347
m filter_minimum.m
function varargout = filter_minimum(varargin)
if nargin == 0
p1 = struct( ...
'Name', 'Radius (in pixel)', ...
'Style', 'integer', ...
'DefaultValue', 3, ...
'Max', 64, .
www.eeworm.com/read/139332/5800823
hpp minimum_category.hpp
// Copyright David Abrahams 2003. Use, modification and distribution is
// subject to the Boost Software License, Version 1.0. (See accompanying
// file LICENSE_1_0.txt or copy at http://www.boost.org
www.eeworm.com/read/136989/5828064
mpb minimum_corba.mpb
// -*- MPC -*-
// minimum_corba.mpb,v 1.2 2003/12/30 15:18:22 dhinton Exp
project {
avoids += minimum_corba
}
www.eeworm.com/read/359185/6352497
m minimum_cost.m
function D = Minimum_Cost(train_features, train_targets, lambda, region)
% Classify using the minimum error criterion via histogram estimation of the densities
% Inputs:
% features- Train featur
www.eeworm.com/read/493206/6398475
m minimum_cost.m
function D = Minimum_Cost(train_features, train_targets, lambda, region)
% Classify using the minimum error criterion via histogram estimation of the densities
% Inputs:
% features- Train featur
www.eeworm.com/read/410924/11264795
m minimum_cost.m
function D = Minimum_Cost(train_features, train_targets, lambda, region)
% Classify using the minimum error criterion via histogram estimation of the densities
% Inputs:
% features- Train featur
www.eeworm.com/read/405069/11472179
m minimum_cost.m
function test_targets = Minimum_Cost(train_patterns, train_targets, test_patterns, lambda)
% Classify using the minimum error criterion via histogram estimation of the densities
% Inputs:
% trai
www.eeworm.com/read/259565/11782502
m minimum_phase.m
function wav=minimum_phase(amp,nsamp)
% Function computes minimum-phase wavelet with given amplitude spectrum
% INPUT
% amp amplitude spectrum
% nsamp number of samples of desired wavelet
% O