代码搜索:Nearest

找到约 1,596 项符合「Nearest」的源代码

代码结果 1,596
www.eeworm.com/read/484096/1271959

changelog

2005-02-11 Brian Gough * fp-gnuc99.c (gsl_ieee_set_mode): added an #ifdef for the default round to nearest mode 2003-12-20 Brian Gough *
www.eeworm.com/read/455463/1614066

m near.m

function L=near(v,val1,val2) % NEAR: return indices of those samples in a vector nearest given bounds % % L=near(v,val1,val2) % L=near(v,val1) % % NEAR searches the vector v and finds the index,
www.eeworm.com/read/193974/5138517

test_scope

test_scope 1. simple nesting 2. extra nesting 3. simple nesting + rebinding 4. nesting with global but no free 5. nesting through class 6. nesting plus free ref to global 7. nearest enclosing scope 8.
www.eeworm.com/read/396844/2407743

m knn_old.m

function [Class,P]=knn_old(Data, Proto, proto_class, K) %KNN_OLD A K-nearest neighbor classifier using Euclidean distance % % [Class,P]=knn_old(Data, Proto, proto_class, K) % % [sM_class,P]=knn_old
www.eeworm.com/read/194440/8193258

m near.m

function L=near(v,val1,val2) % NEAR: return indices of those samples in a vector nearest given bounds % % L=near(v,val1,val2) % L=near(v,val1) % % NEAR searches the vector v and finds the index,
www.eeworm.com/read/294611/8216514

m knn_old.m

function [Class,P]=knn_old(Data, Proto, proto_class, K) %KNN_OLD A K-nearest neighbor classifier using Euclidean distance % % [Class,P]=knn_old(Data, Proto, proto_class, K) % % [sM_class,P]=knn_old
www.eeworm.com/read/367875/9724810

m knn_old.m

function [Class,P]=knn_old(Data, Proto, proto_class, K) %KNN_OLD A K-nearest neighbor classifier using Euclidean distance % % [Class,P]=knn_old(Data, Proto, proto_class, K) % % [sM_class,P]=knn_old
www.eeworm.com/read/235928/14041387

m knn_old.m

function [Class,P]=knn_old(Data, Proto, proto_class, K) %KNN_OLD A K-nearest neighbor classifier using Euclidean distance % % [Class,P]=knn_old(Data, Proto, proto_class, K) % % [sM_class,P]=knn_old
www.eeworm.com/read/235612/14060352

m near.m

function L=near(v,val1,val2) % NEAR: return indices of those samples in a vector nearest given bounds % % L=near(v,val1,val2) % L=near(v,val1) % % NEAR searches the vector v and finds the index,
www.eeworm.com/read/188503/8535151

h yuvscaler.h

// yuvscaler.c void yuvscaler_print_usage (char *argv[]); void yuvscaler_print_information (y4m_stream_info_t in_streaminfo, y4m_ratio_t frame_rate); uint8_t yuvscaler_nearest_integer_division (unsign