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人脸识别的LPP方法的源代码,保局投影(LPP)作为拉普拉斯特征映射的一种线性逼近可以较好的反映样本的流形结构-LPP method for face recognition source code, locality preserving projection (LPP) manifold structure as a linear Laplasse feature mapping approach can better reflect the sample
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Android语音识别源代码,androidtalk实例集源码,并附有其它的相关的Android实例源码,语言识别对应于【Sundy系列】全看懂了,你可加两年Android经验,Android语音朗读-语音识别,源码包结构说明:
Requirement - 需求相关文档
Design - 设计
Planning&Log - 计划,日志,会议
Test - 集成测试,系统测试 , 测试报告 , Buglist
Study - 学习资料,Demo等
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大词汇量语音识别系统,可以识别连续语音,是美国卡内基梅隆开发的开源语音识别系统,该程序用C编写,模块结构非常清晰,函数接口明了-Large vocabulary speech recognition system can recognize continuous speech, Carnegie Mellon developed open source speech recognition system, the program is written in C, the module struc
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车牌识别系统。使用VC++6.0做开发工具, 采用简单的SDI框架结构 ,一次处理一幅位图。-License plate recognition system. Using VC++6.0 as a development tool, a simple frame structure of SDI, a deal with a bitmap.
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采用典型的BP算法实现了基于MNIST的手写数字识别采用输入层、隐含层和输出层的三层结构,实现了BP算法下的神经网络。用7000个样本进行自洽检验,正确率99.79 。-Using typical BP algorithm based on MNIST handwritten numeral recognition using input layer, hidden layer and output layer, three-layer structure, to achieve the neu
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数学形态学进行图像处理的基本思想是:用具有一定形态的结构元素探测目标图像,通过检验结构元素在图像目标中的可放性和填充方法的有效性,来获取有关图像形态结构的相关信息,进而达到对图像分析和识别的目的。-Mathematical morphology for image processing of the basic idea is: with a certain form of structure element to detect the target image, through the tes
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加州大学的MATLAB人脸识别代码,采用了图像结构模型,可以很好地识别人脸-University of California MATLAB code for face recognition, using the image structure model, can be a good face recognition
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采用自编码器实现手写数字识别(matlab),是深度架构的一种。-Handwritten numeral recognition is realized by using the Auto-encoder (matlab), it is one of the deep structure.
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c#开发的基于BP神经网络的手写体识别,代码结构清晰,是学习c#和BP神经网络的好资料-C# development of handwriting recognition based on BP neural network, the code structure is clear, is good information to learn c# and the BP neural network
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- Color provide an important clue for extracting the new color LBP histogram features for face recognition using Local Binary Pattern technique. To reduce redundancy RGB color space converted to YCbCr color space. The Local Binary Pattern is a non pa
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PCA算法,用于人脸识别。算法清晰易懂,结构明了。-PCA algorithm for face recognition. Clear and easy to understand algorithms, structure and clear.
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这个程序旨在把卷积神经网络算法应用于手写字符识别。程序有几种结构的神经网络可以通过比较不同结构而得到对识别率的影响。-This program is designed to put the convolutional neural network algorithm is applied to the handwritten character recognition. The structure of the program there are several kinds of neural
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This paper explores nonlinear methods, inspired by the fractal theory for the analysis of the structure of music signals at multiple time scales, which is of importance both for their modeling and for their automatic computer based recognition. The m
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通过学习BP神经网络技术,对手写数字进行识别,基于结构的识别法及模板匹配法来提高识别率。-Through the study of BP neural network technology, digital handwriting identification, structure-based identification method and template matching method to improve the recognition rate.
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PCL(Point Cloud Library)是在吸收了前人点云相关研究基础上建立起来的大型跨平台开源C++编程库,它实现了大量点云相关的通用算法和高效数据结构,涉及到点云获取、滤波、分割、配准、检索、特征提取、识别、追踪、曲面重建、可视化等。这里是PCL1.6的例子源码-PCL (Point Cloud Library) is on the basis of absorbing the predecessors Point Cloud related research to build a
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相比DeconvNet写得比较简洁易懂。但是原来代码里面给的数据似乎没法跑。所幸同作者还有一些代码用到了TCNN,比如action recognition,可以一起下载下来参考。这个代码主要特色就是tiled结构,可以用来参考,然后把里面ICA的优化函数换成RICA,Sparse Coding等等。总之,在这个代码里也了解了不少(比如line search等)。-DeconvNet well written and easy to understand compared to relativel
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相比DeconvNet写得比较简洁易懂。但是原来代码里面给的数据似乎没法跑。所幸同作者还有一些代码用到了TCNN,比如action recognition,可以一起下载下来参考。这个代码主要特色就是tiled结构,可以用来参考,然后把里面ICA的优化函数换成RICA,Sparse Coding等等。总之,在这个代码里也了解了不少(比如line search等)。-DeconvNet well written and easy to understand compared to relativel
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程序将界面与数据处理分开,界面采用MFC的对话框模板,对注册、训练、识别和主界面分别建立一个类,通过消息处理函数与用户进行交互,利用多线程来实时显示图像。
数据处理又分为了CFaceAlign(人脸检测+几何归一化)、CLightPrep(光照归一化)、CFaceFeature(Gabor特征提取)、CSubspace(计算Fisherface子空间)四个类,还有一个类 CFaceMngr 负责管理界面与数据之间的交流。这样的程序结构使对界面和算法彼此独立,互不影响。
每个类的具体方法
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卷积神经网络识别字符的Matlab程序,包含所需的所有素材和自己改进的一部分代码-Convolutional neural network for handwriten digits recognition: training
and simulation.
This program implements the convolutional neural network for MNIST handwriten
digits recognition, created by Yan
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通过基于HMM的语音识别系统的基本结构,详细介绍了语音信号采集、预处理、MFCC特征参数提取、HMM训练和HMM识别等主要模块的基本原理 并针对实际应用中HMM存在的模型初始化和数据溢出等问题进行分析,引入了一些能提高系统性能的相应措施。-By the basic structure of HMM-based speech recognition system, details the basic principles of audio signal acquisition, preproces
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