Description: 模式识别----模式识别中势函数分类算法。。例子源码。对样本进行学习生成势函数，再对新样本进行分类-Pattern Recognition Pattern Recognition---- potential function classification algorithm. . Examples of source. Of samples for learning to generate potential function, and then samples of the new classification Platform: |
Size: 2048 |
Author:啊德 |
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Description: VB可视化程序，简单的一些代码，
模式识别中势函数的图形表示与分类-VB visualization procedures, some simple code, pattern recognition in the potential function of the graphical representation and classification Platform: |
Size: 2048 |
Author:JustSea |
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Description: 关于语音势识别方面的知识，希望能对大家有一定的帮助-Voice Recognition on the potential of knowledge, I hope we can have some help Platform: |
Size: 116736 |
Author:tutu |
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Description: 本文提出了一种基于独立分量分析的音频数字水印方法。嵌入水印时,对原始音频文件进行一级小波分解,在分解
得到的逼近分量中利用随机混合方法嵌入水印后进行小波逆变换形成嵌入水印的音频文件。仿真实验结果表明这种方
法的强鲁棒性和可行性。-Abstract:Audio p roduction is one of the important digital multimedias, which transmit becomes more and more convenient. To
p revent the multimedia content from being stolen or illegally used, audio content p rotection techniques become increasingly impor2
tant so that the potential of these app lications can be reached. As the importantmethod of copyright p rotection, the digitalwater2
marking technology has been acquired widely recognition and research. This paper p resents a method of digital audio watermark2
ing based on independent component analysis. When embedding watermarking, the original audio is decomposed by single2level
discrete 12D wavelet transform, watermarking is embedded by mixing randomly to the app roximation coefficient vector obtained,
and the audio is single2level reconstructed receiving audio havingwatermarking. Emulated experiment results show that thismeth2
od is robust and feasible. Platform: |
Size: 184320 |
Author:韩永龙 |
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Description: This paper identifies a novel feature space to
address the problem of human face recognition from
still images. This based on the PCA space of the
features extracted by a new multiresolution analysis
tool called Fast Discrete Curvelet Transform. Curvelet
Transform has better directional and edge
representation abilities than widely used wavelet
transform. Inspired by these attractive attributes of
curvelets, we introduce the idea of decomposing
images into its curvelet subbands and applying PCA
(Principal Component Analysis) on the selected
subbands in order to create a representative feature
set. Experiments have been designed for both single
and multiple training images per subject. A
comparative study with wavelet-based and traditional
PCA techniques is also presented. High accuracy rate
achieved by the proposed method for two well-known
databases indicates the potential of this curvelet based
feature extraction method.-This paper identifies a novel feature space to
address the problem of human face recognition from
still images. This is based on the PCA space of the
features extracted by a new multiresolution analysis
tool called Fast Discrete Curvelet Transform. Curvelet
Transform has better directional and edge
representation abilities than widely used wavelet
transform. Inspired by these attractive attributes of
curvelets, we introduce the idea of decomposing
images into its curvelet subbands and applying PCA
(Principal Component Analysis) on the selected
subbands in order to create a representative feature
set. Experiments have been designed for both single
and multiple training images per subject. A
comparative study with wavelet-based and traditional
PCA techniques is also presented. High accuracy rate
achieved by the proposed method for two well-known
databases indicates the potential of this curvelet based
feature extraction method. Platform: |
Size: 432128 |
Author:Swati |
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Description: 近年来，面部识别技术已经备受关注，其研究已迅速，因为它有许多在计算机视觉通讯和控制系统，自动存取的应用潜力。特别是，人脸检测是一种面部识别作为自动人脸识别第一步的重要组成部分。
然而，人脸检测并不简单，因为它需要用到许多技术，如构成变化（前，非前），闭塞，形象定位，照明条件和面部表情的变化-In recent years, face recognition technology has been concern that its research has rapidly because it has many computer vision, communication and control system, automatic access to potential applications. In particular, face detection is a kind of face recognition automatic face recognition as an important part of the first step.
However, face detection is not simple, because it needs to use many techniques, such as changes in the composition (the former, non-ago), occlusion, image orientation, lighting conditions and facial expression changes .... Platform: |
Size: 443392 |
Author:lll |
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Description: 流形学习是近年来机器学习及模式识别等领域的一个研究热点，其主要目标是去发现高维观察数据空间的低维光滑流形。自从2000年Roweis和Saul提出LLE算法、Tenenbaum等人提出Isomap算法，特别是Donoho等人发现Isomap算法能够准确发现人脸图像流形潜在的参数空间、张长水等人将LLE算法用于人脸识别并取得了较好的识别效果之后，基于流形学习的人脸识别研究引起了人们的广泛关注。-Manifold learning in recent years the field of machine learning and pattern recognition as a research focus, its main goal is to find high-dimensional data space observation of low-dimensional smooth manifold. Since 2000 LLE algorithm proposed by Roweis and Saul, Tenenbaum and others proposed Isomap algorithm, especially Donoho, who found that Isomap algorithm can find the potential face images of the parameter space manifold, and Chang-water will LLE algorithm for face recognition and to obtain a good recognition results, the manifold learning-based face recognition research has aroused extensive attention. Platform: |
Size: 15360 |
Author:韩静书 |
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Description: 介绍了一种基于词网的最大似然线性回归无监督自适应算法，并进行了改进。根据解码得到的词网估计变换参数，词网的潜在误识率远小于识别结果，因此可以使参数估计更为准确。传统的一个很大缺点是计算量极大，较难实用，对此本文提出了两个改进技术：1利用后验概率压缩词网；2利用单词的时间信息限制状态统计量的计算范围。实验测定,误识率比传统相对下降了。-Introduced the term network based maximum likelihood linear regression unsupervised adaptive algorithm, and an improved. According to decode the received word net estimated transformation parameters, the word error rate of net potential is far less than the recognition results, it can make parameter estimation more accurate. A major drawback is that the traditional calculation enormously difficult practical, this paper presents two improved technology: 1 compression using word posterior probability network 2 time information using the word limit state statistic calculation. Experimental determination of the relative error rate than traditional down. Platform: |
Size: 225280 |
Author:自然快乐 |
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Description: ：自适应技术在近年来得到越来越多的重视，其中应用广泛的包括,-.、,//0，该技术利用少量特定
人数据就可以调整码本，快速地提升识别性能，它要求原始的码本有很好的说话人无关性。本文介绍了结合
,//0 自适应的说话人自适应训练（1234536 -74289:3 649<9<=，以下简称1- ）算法，这种方法将每个说话人码本
视为说话人无关码本经过线性变换的结果，在此基础上训练的说话人无关码本更有效剔除了说话人相关信
息，因此在说话人自适应中时能根据特定数据调整更好地逼近说话人特性，从而有更好的性能表现。-Introduced the term network based maximum likelihood linear regression unsupervised adaptive algorithm, and an improved. According to decode the received word net estimated transformation parameters, the word error rate of net potential is far less than the recognition results, it can make parameter estimation more accurate. A major drawback is that the traditional calculation enormously difficult practical, this paper presents two improved technology: 1 compression using word posterior probability network 2 time information using the word limit state statistic calculation. Experimental determination of the relative error rate than traditional down. Platform: |
Size: 220160 |
Author:自然快乐 |
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Description: QR码作为一种可高速、全方位识别的二维条码,已经在各行各业中得到了应用,并具有很大发展潜力.本文针对QR码图像的识别过程中可能遇到的图像噪声干扰、QR码占实际拍摄图像的一部分、倾斜、几何失真等问题进行了研究,提出了通过改进型中值滤波去除噪声,使用QR码符号特性定位并对倾斜图像进行旋转,对失真不严重的图像采用控制点变换和双线性插值方法进行几何校正.实验证明, 本文的方法简单有效, 可以用于提高条码的正确识别率.-As a high-speed, full identification of the two-dimensional bar code, QR code has been applied in all walks of life, and also has great potential for development. In this paper, aiming at QR code image recognition process may be encountered in noise interference, QR code accounting for the actual captured image just a part, slant, geometric distortion, and other issues have been studied, put forward through improved median filter to remove noise, use QR code symbol characteristics to locate and rotate the tilted image, distortion which is not serious use control-point transform and spatial bilinear interpolation method for geometric correction. The results show that this method is simple and effective, can be used to improve the QR code correct recognition rate. Platform: |
Size: 1319936 |
Author:ljj |
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Description: 车牌自动识别技术是自动控制领域和交通工程领域重要研究课题之一,具有极高的理论研究和实际应用价值。随着自动控制技术、计算机技术和通讯技术的快速发展,新的研究方法和技术不断出现,并已在实际工程应用中显示出巨大的威力和发展潜力。-Automatic license plate recognition technology is the field of automatic control and traffic engineering one of the important research topics, with a high theoretical and practical value. With the automatic control technology, computer technology and the rapid development of communications technology, new methods and technologies continue to emerge, and has practical application show great power and potential. Platform: |
Size: 3885056 |
Author:hutua |
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Description: LBP算法，应用于识别，特征提取等多方面的一种潜力算法，主要实现图像的纹理分类-LBP algorithm, used in recognition, feature extraction algorithms and other aspects of a potential，Mainly for image texture classification
Platform: |
Size: 4096 |
Author:柳树 |
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Description: This paper presents a technique which is based on pattern recognition techniques, in order to estimate
Mobile Terminal (MT) velocity. The proposed technique applies on received signal strength (RSS) measurements
and more precisely on information extracted from Iub air interface, in wideband code-division multiple access
(WCDMA) systems for transmission control purposes. Pattern recognition is performed by Hidden Markov Model
(HMM), which is trained with downlink signal strength measurements for specific areas, employing Clustering
LARge Applications (CLARA) like a clustering method. Accurate results from a single probe vehicle show the
potential of the method, when applied to large scale of MTs. Platform: |
Size: 351232 |
Author:anna |
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Description: This book will serve as a handbook for students, researchers and practitioners in the area of automatic (computer) face recognition and inspire some future research ideas by identifying potential research directions. Within each chapter the reader will be given an overview of background information on the subject at hand and in many cases a description of the authors original proposed solution. The chapters should give the reader a general idea where the current research efforts are heading, both within the face recognition area itself and in interdisciplinary approaches.-This book will serve as a handbook for students, researchers and practitioners in the area of automatic (computer) face recognition and inspire some future research ideas by identifying potential research directions. Within each chapter the reader will be given an overview of background information on the subject at hand and in many cases a description of the authors original proposed solution. The chapters should give the reader a general idea where the current research efforts are heading, both within the face recognition area itself and in interdisciplinary approaches. Platform: |
Size: 15268864 |
Author:AAA |
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Description: 势评估、对敌方实行电子干扰提供重辐射源识别技术主要面临以下一些匾待解决的问题：首先，-Potential assessments, the implementation of electronic jamming of enemy heavy emitter recognition technology to provide some of the following plaque to be facing major problems: first, Platform: |
Size: 490496 |
Author:刘兆 |
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Description: 本文综述了压缩感知理论在雷达目标探测与识别中的研究进展, 分析了压缩感知理论在PD
雷达、穿墙雷达、MIM O 雷达、雷达目标参数估计、雷达成像以及目标识别等领域的潜在应用-This paper reviews the research progress compression theory in radar target detection and recognition of perception, analysis of the compressed sensing theory in PD radar, through-wall radar, MIM O radar, radar target parameter estimation, radar imaging and target identification of potential applications in areas such as Platform: |
Size: 463872 |
Author:王平 |
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Description: In recent years, face detection has been thoroughly studied
due to its wide potential applications, including face recognition,
human-computer interaction, video surveillance, etc.
Especially, in the context of face recognition, the detection of
faces along with the detection of some fiducial points, such
as the eyes and mouth, is the first step of the face recognition
system, and this step largely affects the performance of the
overall system. Platform: |
Size: 3897344 |
Author:HIYAM |
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Description: In recent years, face detection has been thoroughly studied
due to its wide potential applications, including face recognition,
human-computer interaction, video surveillance, etc.
Especially, in the context of face recognition, the detection of
faces along with the detection of some fiducial points, such
as the eyes and mouth, is the first step of the face recognition
system, and this step largely affects the performance of the
overall system. Platform: |
Size: 4150272 |
Author:HIYAM |
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Description: 外国人写的行为动作识别，运用加速度传感器，具有较高识别率，又实用价值-Activity recognition has recently gained attention as a research
topic because of the increasing availability of accelerometers in
consumer products, like cell phones, and because of the many
potential applications. Platform: |
Size: 428032 |
Author:shenaimin |
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Search - potential recognition