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基于小波分析，使用线性回归模型来进行纹理的识别和分类，是08年IEEE TRANSACTION的经典文献。-Based on wavelet analysis, the use of linear regression model for texture identification and classification, 2008 IEEE TRANSACTION are classic literature.
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Snakuscule是一种新型概念的snake。基于区域的，而不是基于曲线的。有两点决定，适合细胞分割、数目鉴定以及其他用途。是08年IEEE TRANSACTION中Snakuscule的源码-Snakuscule is a new concept of the snake. Based on the region, rather than based on the curve. There are two decisions, for cell division, the number of
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MATLAB implementation of time series prediction Based on the VQTAM method described in the following papers:
G. A. Barreto & A. F. R. Araujo (2004)
"Identification and Control of Dynamical Systems Using the Self-Organizing Map"
IEEE Transac
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This has a collection of IEEE papers on fingerprint identification system.
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同调分析下载的IEEE的同调文献都是最新的可以给大家帮个忙-coherency identification
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以实例的形式介绍了PRBS辨识系统的方法，是一篇IEEE的文献，希望有帮助。-system identification based on PRBS.
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Source code: M. A. Haque and M. K. Hasan, "Noise robust multichannel frequency-domain LMS-type algorithms for blind channel identification", IEEE Signal Processing Letters, pp.305-308, vol.15, 2008.
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Guidance for the development of the set of requirements, System Requirements Specification
(SyRS), that will satisfy an expressed need is provided. Developing an SyRS includes the
identification, organization, presentation, and modification of th
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802.1X 标准应用于试图连接到端口或其它设备(如Cisco Catalyst交换机或Cisco Aironet系列接入点)(认证方)的终端设备和用户(请求方)。认证和授权都通过鉴权服务器(如Cisco Secure ACS)后端通信实现。IEEE 802.1X提供自动用户身份识别，集中进行鉴权、密钥管理和LAN连接配置。 整个802.1x 的实现设计三个部分，请求者系统、认证系统和认证服务器系统。-The 802.1X standard applies to terminal equipme
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基于核密度估计的背景减法算法，拥有命令行界面的C++源代码。-kernel density estimation based background subtraction algorithm [1] with a command line interface. this algorithm is a somewhat improved version of [2].
the kmovingobjdetector class within the project is originally w
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块OMP算法，主要推广了OMP算法的思想和实现。和原始论文对应，具有实用性。-The entire work was developed for an University exam.
The authors are LORENZO TORTORELLA and ALESSANDRO RAUGI.
For details see:
B. M. Sanandaji, T. L. Vincent, M. B. Wakin, R. T髏h e K. Poolla, ?
Compress
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It contains the code for the paper Kernel normalized mixed-norm algorithm for system identification published in 2015 IEEE International Joint Conference on Neural Networks (IJCNN 2015).-kernel normalized mixed norm algorithm
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Wiener filters have two main applications, system identification, and signal conditioning.
System identification: the goal is to model the unknown system that produces a known output ( ) a known input ( )-Wiener filters have two main applications,
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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 Hart
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This paper focuses on improving the solution techniques
for the AC problem of active power dispatch by
using the DC approximation within the algorithm.
Our approach brings two benefits compared with benchmark
algorithms: it speeds up the solutio
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IEEE Std 738-2006 Front Cover
Introduction
Notice to users
Participants
CONTENTS
IEEE Standard for Calculating the Current-Temperature of Bare Overhead Conductors
1. Overview
1.1 Scope
1.2 Disclaimer
2. Definitions
3. Temperature calculatio
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