代码搜索：kernel
找到约 10,000 项符合「kernel」的源代码
代码结果 10,000
www.eeworm.com/read/213492/15133822
m rsde.m
function model = rsde(X,options)
% RSDE Reduced Set Density Estimator.
%
% Synopsis:
% model = rsde(X,options)
%
% Description:
% This function implements the Reduced Set Density Estimator
% [Giro
www.eeworm.com/read/213492/15133824
m~ rsde.m~
function model = rsde(X,options)
% RSDE Reduced Set Density Estimator.
%
% Synopsis:
% model = rsde(X,options)
%
% Description:
% This function implements the Reduced Set Density Estimator
% [Giro
www.eeworm.com/read/213240/15139944
m center.m
function K = center(Ktst,Ktrn)
%CENTER Center the kernel matrix
%
% K = CENTER(KTST,KTRN)
%
% Center the kernel matrix KTST in the kernelspace defined by KTRN.
%
%@article{Scholkopf1998,
% author =
www.eeworm.com/read/213240/15139999
m dd_ex3.m
% DD_EX3
%
% Show the use of the ksvdd: the support vector data description using
% several different kernels.
%
% To be honest, the SVDD is the most useful using the RBF kernel. In
% most case
www.eeworm.com/read/212498/15155583
h memory.h
/*
* NOTE!!! memcpy(dest,src,n) assumes ds=es=normal data segment. This
* goes for all kernel functions (ds=es=kernel space, fs=local data,
* gs=null), as well as for all well-behaving user prog
www.eeworm.com/read/210622/15195040
c loadkernel.c
#include "typdef.h"
extern char kernel[];
void loadkernel()
{
int i;
char *to;
char *from;
void (*fp)(void);
fp = (void (*)(void))0x8000;
to = (char*)0x8000;
from =
www.eeworm.com/read/210000/15209979
h memory.h
/*
* NOTE!!! memcpy(dest,src,n) assumes ds=es=normal data segment. This
* goes for all kernel functions (ds=es=kernel space, fs=local data,
* gs=null), as well as for all well-behaving user prog
www.eeworm.com/read/209231/15225270
svn-base svmeval.m.svn-base
% SVMEVAL - Evaluates a support vector machine at the given data points.
%
% Syntax: [f,K] = svmeval(X,a,b,ind,X_mer,y_mer,type,scale)
% (evaluates the given SVM at the data points containe
www.eeworm.com/read/209231/15225297
m svmeval.m
% SVMEVAL - Evaluates a support vector machine at the given data points.
%
% Syntax: [f,K] = svmeval(X,a,b,ind,X_mer,y_mer,type,scale)
% (evaluates the given SVM at the data points containe
www.eeworm.com/read/208247/15250314
readme
sonic-snap v 1.7
sonic-snap is a webcam application specifically suited for the
Sonix sn9c102 chip, found, e.g. on the Sweex minicam.
Dependencies
============
sonic-snap is a v4l2 application, b