代码搜索:Fitting

找到约 695 项符合「Fitting」的源代码

代码结果 695
www.eeworm.com/read/455115/7377805

html index.html

Example of edge detection, edge linking, and line segment fitting Example of edge detection, edge linking, and line
www.eeworm.com/read/454351/7393261

txt readme.txt

This package demomstrates an improved algorithm based on the local binary fitting (LBF) model in Chunming Li et al's paper: Chunming Li, Chiu-Yen Kao, John Gore, Zhaohua Ding "Implicit Active Co
www.eeworm.com/read/299459/7850769

m demo_svmpout.m

% DEMO_SVMPOUT Fitting a posteriory probability to SVM output. % % A posteriory probability p(y==1|f(x)) of the first class % given SVM output f(x) is assumed to be sigmoid function. % Parameters A(1
www.eeworm.com/read/312163/13617556

m demo_svmpout.m

% DEMO_SVMPOUT Fitting a posteriory probability to SVM output. % % A posteriory probability p(y==1|f(x)) of the first class % given SVM output f(x) is assumed to be sigmoid function. % Parameters A(1
www.eeworm.com/read/109663/6172778

psf interrupt.psf

SYNTHESIS_FITTING_SETTINGS { AUTO_SHIFT_REGISTER_RECOGNITION = ON; AUTO_DSP_RECOGNITION = ON; AUTO_RAM_RECOGNITION = ON; REMOVE_DUPLICATE_LOGIC = ON; AUTO_TURBO_BIT = ON; AUTO_MERGE_PLLS
www.eeworm.com/read/109663/6172895

psf interrupt.psf

SYNTHESIS_FITTING_SETTINGS { AUTO_SHIFT_REGISTER_RECOGNITION = ON; AUTO_DSP_RECOGNITION = ON; AUTO_RAM_RECOGNITION = ON; REMOVE_DUPLICATE_LOGIC = ON; AUTO_TURBO_BIT = ON; AUTO_MERGE_PLLS
www.eeworm.com/read/109663/6172998

psf interrupt.psf

SYNTHESIS_FITTING_SETTINGS { AUTO_SHIFT_REGISTER_RECOGNITION = ON; AUTO_DSP_RECOGNITION = ON; AUTO_RAM_RECOGNITION = ON; REMOVE_DUPLICATE_LOGIC = ON; AUTO_TURBO_BIT = ON; AUTO_MERGE_PLLS
www.eeworm.com/read/150760/12266102

m demo_svmpout.m

% DEMO_SVMPOUT Fitting a posteriory probability to SVM output. % % A posteriory probability p(y==1|f(x)) of the first class % given SVM output f(x) is assumed to be sigmoid function. % Parameters A(1
www.eeworm.com/read/213492/15133784

m demo_svmpout.m

% DEMO_SVMPOUT Fitting a posteriory probability to SVM output. % % A posteriory probability p(y==1|f(x)) of the first class % given SVM output f(x) is assumed to be sigmoid function. % Parameters A(1
www.eeworm.com/read/208657/15239791

m tfdraw.m

function [sout,sinv,pts]=tfdraw(in,dim,string,init_pts) % function [sout,sinv,pts]=tfdraw(in,dim,string,init_pts); % % Interactive mouse-based loglog sketching and fitting tool % % inputs: