代码搜索结果

H I D D E N M A R K O V M O D E L for automatic speech recognition 7/30/95 This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training a

// // file: demo2rgn.rsp // desc: demo2 recognition response file // by: patrick ko shu pui // date: 27 apr 1992 // // 4 input units -i=4 // 4 output units -o=4 // 2 hidden layers -hh

// // file: demo1rgn.rsp // desc: demo1 recognition response file // by: patrick ko shu pui // date: 27 apr 1992 // // comment: // // The following response file is equivalent to the command

function stprpath(toolboxroot) % STPRPATH sets path to Statistical Pattern Recognition Toolbox. % % Synopsis: % stprpath % stprpath(toolboxroot) % % Description: % stprpath(toolboxroot) se

function stprpath(toolboxroot) % STPRPATH sets path to Statistical Pattern Recognition Toolbox. % % Synopsis: % stprpath % stprpath(toolboxroot) % % Description: % stprpath(toolboxroot) se

% Demo on Optical Character Recognition (OCR) for handwritten numerals. % % models (dir) - Different SVM models trained for OCR system. % % collect_chars - Collecting training examples for OCR. % mpa

% Demos of the Statistical Pattern Recognition Toolbox. % % image_denoising - (dir) Image denoising using kernel PCA. % ocr - (dir) Object Character Recognition. % % demo_anderson - G

% DEMO_OCR Demo on Optical Character Recognition using SVM. % % Synopsis: % demo_ocr; % % Description: % For more information type 'help ocr'. % % About: Statistical Pattern Recognition Toolbox %

Face Recognition Library ======================== Advanced face recognition DLL using two functions : Train and Recognize. Uses neural net back propogation alogorithm with more AI tools added for

H I D D E N M A R K O V M O D E L for automatic speech recognition 7/30/95 This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training a