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Description:
VNC Source Distribution for Windows platforms
=============================================
VNC is Copyright Olivetti & Oracle Research Laboratory. This software is
distributed under the GNU General Public Licence as published by the Free
Software Foundation. See the file LICENCE.TXT for the conditions under
which this software is made available. VNC also contains code from other
sources. See the Acknowledgements section below, and the individual files
for details of the conditions under which they are made available.
There are two programs here in the two subdirectories:
vncviewer - this is the VNC viewer, or client, program for Win32.
winvnc - this is the VNC server for Win32. It allows an NT desktop
to be accessed remotely using a VNC viewer.
These were both built using Microsoft Visual C++ 5.0 and each contains a
workspace & project file suitable for building it.
-VNC Source Distribution for Windows platf orms ==================================== ========= VNC is Copyright Olivetti
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Size: 433306 |
Author: 张少杰 |
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Description: linux/unix下对PR50 Olivetti 打印机的测试程序（C语言）
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Size: 1615 |
Author: vg |
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Description:
VNC Source Distribution for Windows platforms
=============================================
VNC is Copyright Olivetti & Oracle Research Laboratory. This software is
distributed under the GNU General Public Licence as published by the Free
Software Foundation. See the file LICENCE.TXT for the conditions under
which this software is made available. VNC also contains code from other
sources. See the Acknowledgements section below, and the individual files
for details of the conditions under which they are made available.
There are two programs here in the two subdirectories:
vncviewer - this is the VNC viewer, or client, program for Win32.
winvnc - this is the VNC server for Win32. It allows an NT desktop
to be accessed remotely using a VNC viewer.
These were both built using Microsoft Visual C++ 5.0 and each contains a
workspace & project file suitable for building it.
-VNC Source Distribution for Windows platf orms ==================================== ========= VNC is Copyright Olivetti
Platform: |
Size: 433152 |
Author: 张少杰 |
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Description: linux/unix下对PR50 Olivetti 打印机的测试程序（C语言）-linux/unix printers PR50 Olivetti under the test procedures (C language)
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Size: 1024 |
Author: vg |
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Description: vnc远程控制源码
VNC is Copyright Olivetti & Oracle Research Laboratory.-vnc remote control source VNC is Copyright Olivetti
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Size: 385024 |
Author: |
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Description: pr2打印机使用手册，包括仿真OLIVETTI 命令集，仿真IBM 命令集和，仿真OKI 命令集-pr2 printer manuals, including the simulation OLIVETTI command set, simulation, command set, and IBM, OKI command set emulation
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Size: 91136 |
Author: yang |
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Description: 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机
(SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽
略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸
识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem of LDA algorithm can be overcome by two—dimensional LDA f 2DLDA)，and
Support Vector Machine(SVM)has the characteristic of structural risk minimization．In this paper，two methods were
combined and used for face recognition．Firstly，the original images were decomposed into high—frequency and low—frequency
components by Wavelet Transform(WT)．The high—frequency components were ignored，while the low—frequency components
can be obtained．Then．the liner discriminant features were extracted by 2DLDA，and”one VS rest”。strategy of SVMs for
muhiclass classification was chosen to perform face recognition． Experimental results based on ORL f Olivetti Research
Laboratory1 face database and Yale face database show the validity of 2DLDA+SVM algorithm for face recogn ition．
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Size: 236544 |
Author: 费富里 |
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Description: Tristan Richardson
RealVNC Ltd
(formerly of Olivetti Research Ltd / AT&T Labs Cambridge)
Version 3.8
Last updated 24 November 2009
Contents
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Size: 144384 |
Author: lordex1 |
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Description: 基于奇异值分解的人脸识别方法
梁毅雄 龚卫国 潘英俊 李伟红 刘嘉敏 张红梅
提出了一种将傅里叶变换和奇异值分解相结合的人脸自动识别方法.首先对人脸图像进行傅里叶变换,得到其具有位移不变特性的振幅谱表征.其次,从所有训练图像样本的振幅谱表征中给定标准脸并对其进行奇异值分解,求出标准特征矩阵,再将人脸的振幅谱表征投影到标准特征矩阵后得到的投影系数作为该人脸的模式特征.然后,对经典的最近邻分类器算法进行了改进,并采用模式特征之间的欧式距离作为相似性度量,从而完成对未知人脸的识别.采用ORL (Olivetti Research Laboratory)人脸库对本文提出的人脸识别方法进行验证,获得了100.00 的识别率.实验结果表明,本方法优于现有的基于奇异值分解的人脸识别方法,且对表情、姿态变换等具有一定的鲁棒性.
-Face recognition based on singular value decomposition method
Deliberate simultaneously Gong Weiguo Li Wei Hung Stephen Lau, Hong-Mei Zhang Ying-Jun Pan
Paper, a Fourier transform and singular value decomposition of the combination of automatic face recognition. First of all, the face image by Fourier transformation, it has the same characteristics of the displacement amplitude spectra. Secondly, all training The amplitude spectrum of the sample images given in standard face representation and its singular value decomposition, find the standard characteristic matrix, then the amplitude of spectral characterization of human faces projected onto the standard characteristic matrix of projection coefficients obtained as the face of the model features . Then, the classical nearest neighbor classifier is improved, and the use of Euclidean distance between pattern features as the similarity measure, thus completing the identification of unknown human faces. using ORL (Olivetti Research La
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Size: 58368 |
Author: houhj |
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Description: P2R打印机串口指令集编程手册，Olivetti/IBM/Epson-P2R printer serial instruction set programming manual, Olivetti/IBM/Epson
Platform: |
Size: 8006656 |
Author: dujing |
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Description: OLIVETTI FAX-LAB 115 user guide
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Size: 2529280 |
Author: maho |
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Description: Name: Olivetti - Att - ORL
Color Images: No
Image Size: 92 x 112
Number of unique people: 40
Number of pictures per person: 10
Different Conditions: All frontal and slight tilt of the head
Citation reference: Ferdinando Samaria, Andy Harter. Parameterisation of a Stochastic Model for Human Face Identification. Proceedings of 2nd IEEE Workshop on Applications of Computer Vision, Sarasota FL, December 1994
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Size: 4075520 |
Author: lion_kt
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