代码搜索：objects
找到约 10,000 项符合「objects」的源代码
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www.eeworm.com/read/455002/7380159
cpp bigtime.cpp
/*
* Copyright 2003 by Texas Instruments Incorporated.
* All rights reserved. Property of Texas Instruments Incorporated.
* Restricted rights to use, duplicate or disclose this code are
*
www.eeworm.com/read/454076/7401516
c appresources.c
/*
* Copyright 2002 by Texas Instruments Incorporated.
* All rights reserved. Property of Texas Instruments Incorporated.
* Restricted rights to use, duplicate or disclose this code are
*
www.eeworm.com/read/452123/7447023
tra uart.tra
*** Creating Trace Output File 'uart.tra' Ok.
### Preparing for ADS-LD.
### Creating ADS-LD Command Line
### List of Objects: adding '"startup.o"'
### List of Objects: adding '"irq.o"'
### List o
www.eeworm.com/read/451547/7461889
m target_class.m
function [a,b] = target_class(a,clnr)
% TARGET_CLASS extracts the target class from an one-class dataset
%
% A = TARGET_CLASS(A,CLNR)
%
% Extract the target class from an one-class dataset. When t
www.eeworm.com/read/451547/7461973
m find_target.m
%FIND_TARGET extract the indices of the target and outlier objects
%
% [It,Io] = FIND_TARGET(A)
%
% Return the indices of the objects from dataset A which are labeled
% 'target' and 'outlier' i
www.eeworm.com/read/451547/7461977
m incsvdd.m
%INCSVDD Incremental Support Vector Classifier
%
% W = INCSVDD(A,FRACERR,KTYPE,PAR)
%
% Use the incremental version of the SVDD. The kernel is defined by
% KTYPE, with the free parameter PAR. See
www.eeworm.com/read/450608/7480067
m spatm.m
%SPATM Augment image dataset with spatial label information
%
% E = SPATM(D,S)
% E = D*SPATM([],S)
%
% INPUT
% D image dataset classified by a classifier
% S smoothing parameter
www.eeworm.com/read/450608/7480112
m knnc.m
%KNNC K-Nearest Neighbor Classifier
%
% [W,K,E] = KNNC(A,K)
% [W,K,E] = KNNC(A)
%
% INPUT
% A Dataset
% K Number of the nearest neighbors (optional; default: K is
% optimized with resp