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: