代码搜索:Extraction

找到约 5,483 项符合「Extraction」的源代码

代码结果 5,483
www.eeworm.com/read/409299/2234964

svn-base dualgeneralfeatures.m.svn-base

function [newTrainX, newTestX, subspaceInfo] = dualGeneralFeatures(trainX, trainY, testX, params) %Compute the dual general features, based on the General Feature Extraction Framework, %on a set of
www.eeworm.com/read/386050/8767389

m bhatm.m

%BHATM Bhattacharryya linear feature extraction mapping % % W = BHATM(A,N) % % INPUT % A Dataset % N Number of dimensions to map to (N >= 1), or fraction of cumulative % contr
www.eeworm.com/read/299984/7139973

m bhatm.m

%BHATM Bhattacharryya linear feature extraction mapping % % W = BHATM(A,N) % % INPUT % A Dataset % N Number of dimensions to map to (N >= 1), or fraction of cumulative % contr
www.eeworm.com/read/460435/7250448

m bhatm.m

%BHATM Bhattacharryya linear feature extraction mapping % % W = BHATM(A,N) % % INPUT % A Dataset % N Number of dimensions to map to (N >= 1), or fraction of cumulative % contr
www.eeworm.com/read/450608/7480098

m bhatm.m

%BHATM Bhattacharryya linear feature extraction mapping % % W = BHATM(A,N) % % INPUT % A Dataset % N Number of dimensions to map to (N >= 1), or fraction of cumulative % contr
www.eeworm.com/read/441245/7672653

m bhatm.m

%BHATM Bhattacharryya linear feature extraction mapping % % W = BHATM(A,N) % % INPUT % A Dataset % N Number of dimensions to map to (N >= 1), or fraction of cumulative % contr
www.eeworm.com/read/144279/12804337

txt change_log.txt

(Version 2.41) -> added d2v-project extraction (new index file) ---------------------------------------------------------------------------- (Version 2.40) -> added chapter time in info.txt
www.eeworm.com/read/327189/13095942

pde gowiththeflow.pde

/** * GoWithTheFlow * * A simple demo of background subtraction and silhouette extraction. * * by Jorge Cardoso http://jorgecardoso.eu * January 2008 * */ import processing.opengl.*
www.eeworm.com/read/137160/13341843

m bhatm.m

%BHATM Bhattacharryya linear feature extraction mapping % % W = BHATM(A,N) % % INPUT % A Dataset % N Number of dimensions to map to (N >= 1), or fraction of cumulative % contr
www.eeworm.com/read/314653/13562226

m bhatm.m

%BHATM Bhattacharryya linear feature extraction mapping % % W = BHATM(A,N) % % INPUT % A Dataset % N Number of dimensions to map to (N >= 1), or fraction of cumulative % contr