代码搜索:based

找到约 10,000 项符合「based」的源代码

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cpp~ blockpool.cpp~

/** \file This file contains the class functions for a "pool" based memory allocator. These functions manage the block chain that makes up the memory pool and allocates memory from the
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m torr_mlesac_f.m

% By Philip Torr 2002 % copyright Microsoft Corp. % % %designed for the good of the world by Philip Torr based on ideas contained in % copyright Philip Torr and Microsoft Corp 2002 % % /*
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m torr_mapsac_f.m

% By Philip Torr 2002 % copyright Microsoft Corp. %MAPSAC is the Bayesian version of MLESAC, and it is easier to pronounce! % % %designed for the good of the world by Philip Torr based on ideas c
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m torr_napsac_f.m

% By Philip Torr 2002 % copyright Microsoft Corp. %MAPSAC is the Bayesian version of MLESAC, and it is easier to pronounce! % % %designed for the good of the world by Philip Torr based on ideas c
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pbc debug.pbc

#Texas Instruments, Inc. Profiler Based Compilation Generated file #Format Version 0.01 --beginopts IMGProcess -o3 -oi0 --endopts
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m binarymutation.m

function [parent] = binaryMutate(parent,bounds,Ops) % Binary mutation changes each of the bits of the parent % based on the probability of mutation % % function [newSol] = binaryMutate(parent,bounds,O
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m denoise.m

function [Xdenoised, criterion]=denoise(X,varargin) % % local projective denoising % % Implematation of a denoising algorithms for enhancing noisy signals based on % LICA, dAMUSE and KPCA. The algorit
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h io_fw_down3.h

//************************************************************** //* Edgeport Binary Image (for TI based products) //* Generated by TIBin2C v2.00 (watchport) //* Copyright (C) 2001 Inside Out Networks
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c kaweth.c

/**************************************************************** * * kaweth.c - driver for KL5KUSB101 based USB->Ethernet * * (c) 2000 Interlan Communications * (c) 2000 Stephane Aln
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m binarymutation.m

function [parent] = binaryMutate(parent,bounds,Ops) % Binary mutation changes each of the bits of the parent % based on the probability of mutation % % function [newSol] = binaryMutate(parent,bounds,O