代码搜索：vector-valued
找到约 28 项符合「vector-valued」的源代码
代码结果 28
www.eeworm.com/read/480713/6660081
m walker.m
function walker
% WALKER Human gait.
% This model, developed by Nikolaus Troje, is a five-term Fourier series
% with vector-valued coefficients that are the principal components for
% data obtain
www.eeworm.com/read/155568/11862989
m walker.m
function walker
% WALKER Human gait.
% This model, developed by Nikolaus Troje, is a five-term Fourier series
% with vector-valued coefficients that are the principal components for
% data obtain
www.eeworm.com/read/151555/12201470
m walker.m
function walker
% WALKER Human gait.
% This model, developed by Nikolaus Troje, is a five-term Fourier series
% with vector-valued coefficients that are the principal components for
% data obtain
www.eeworm.com/read/427511/8938409
m walker.m
function walker(g)
% WALKER Human gait.
% This model, developed by Nikolaus Troje, is a five-term Fourier series
% with vector-valued coefficients that are the principal components for
% data obt
www.eeworm.com/read/167116/9980375
m walker.m
function walker
% WALKER Human gait.
% This model, developed by Nikolaus Troje, is a five-term Fourier series
% with vector-valued coefficients that are the principal components for
% data obtained i
www.eeworm.com/read/316414/13523282
m walker.m
function walker(g)
% WALKER Human gait.
% This model, developed by Nikolaus Troje, is a five-term Fourier series
% with vector-valued coefficients that are the principal components for
% data obt
www.eeworm.com/read/316412/13523352
m walker.m
function walker
% WALKER Human gait.
% This model, developed by Nikolaus Troje, is a five-term Fourier series
% with vector-valued coefficients that are the principal components for
% data obtained i
www.eeworm.com/read/202680/15375874
m walker.m
function walker
% WALKER Human gait.
% This model, developed by Nikolaus Troje, is a five-term Fourier series
% with vector-valued coefficients that are the principal components for
% data obtained i
www.eeworm.com/read/251838/4414493
m cg2.m
% Conditional Gaussian network with vector-valued nodes and random params
ns = 2*ones(1,9);
bnet = mk_incinerator_bnet(ns);
engines = {};
%engines{end+1} = stab_cond_gauss_inf_engine(bnet);
engines
www.eeworm.com/read/215485/4903455
m cg2.m
% Conditional Gaussian network with vector-valued nodes and random params
ns = 2*ones(1,9);
bnet = mk_incinerator_bnet(ns);
engines = {};
%engines{end+1} = stab_cond_gauss_inf_engine(bnet);
engines