代码搜索:Reduction

找到约 701 项符合「Reduction」的源代码

代码结果 701
www.eeworm.com/read/110990/6935517

c nrec.c

#include "handsfree_private.h" #include "handsfree.h" #include /* disableNrecAction Disable the noise reduction (NR)/ echo cancellation (EC) function of the
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m featureslgpca.m

% Dimensionality reduction for cuboids descriptors. % % Assumes feature extraction (FEATURESLGDETECT) has been run. % See FEATURESSMPCA for more info. % % INPUTS % nsets - number of sets %
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m featuressmpca.m

% Dimensionality reduction for cuboids descriptors. % % Samples cuboids from all datasets, and uses this sample to get the pca coefficient for % the descriptor (see imagedesc_getpca). Should be run a
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m featuressm.m

% Feature detection and description applied to DATASETS behavior data. % % 1) First, detect features for every clip in every dataset. This leads to a large % reduction in the size of the dataset (the
www.eeworm.com/read/144969/12758466

at reduce.at

# Exercising Bison Grammar Reduction. -*- Autotest -*- # Copyright (C) 2001, 2002 Free Software Foundation, Inc. # This program is free software; you can redistribute it and/or m
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br reduce.br

// reduce.br // A stress-test for reduction functionality. // The matrix-multiplication operation is associative // but not commutative, so this test confirms // that a runtime correctly groups elemen
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c redscat.c

/* * Test of reduce scatter. * * Each processor contributes its rank + the index to the reduction, * then receives the ith sum * * Can be called with any number of processors. */ #include "m
www.eeworm.com/read/119864/6081704

c sinl.c

/* sinl.c * * Circular sine, long double precision * * * * SYNOPSIS: * * long double x, y, sinl(); * * y = sinl( x ); * * * * DESCRIPTION: * * Range reduction is into intervals o
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c sqrtf.c

/* sqrtf.c * * Square root * * * * SYNOPSIS: * * float x, y, sqrtf(); * * y = sqrtf( x ); * * * * DESCRIPTION: * * Returns the square root of x. * * Range reduction involves is
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m readme.m

% FACE RECOGNITION BASED ON HIERARCHICAL DIMENSIONALITY REDUCTION % % % Copy all files in Matlab current directory and type "hdrface" on % Matlab command window. % % First, select an input image