Description: 核直接线性判别方法:图像及高维复杂数据模式识别的利器！内有方法开发的相关文档说明！经典！-The matlab functions implement the methods presented in the paper [TNN_KDDA02.pdf]
Juwei Lu, K.N. Plataniotis, and A.N. Venetsanopoulos, "Face Recognition Using
Kernel Direct Discriminant Analysis Algorithms", IEEE Transactions on Neural
Networks, Vol. 14, No. 1, Page: 117-126, January 2003.
and the chapter [JLu_KP_ANV.pdf] (An extension to the above TNN paper)
Juwei Lu, K.N. Plataniotis and A.N. Venetsanopoulos, 揔ernel Discriminant Learning
with Application to Face Recognition? to appear, in 揝upport Vector Machines:
Theory and Applications? Lipo WANG, Editors, Springer-Verlag, to be published in
2004. Platform: |
Size: 744448 |
Author:ym |
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Description: This project provides matlab class for implementation of convolutional neural networks. This networks was created by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot navigation and others
This release includes sample of handwritten digits recognition using CNN. Platform: |
Size: 551936 |
Author:ssss |
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Description: Program recognition of elementary images
The example shows how to use the mechanism, quadrupeds, as neural networks. First, the program offers two different images. Then point to the third image. Using it is that the mechanism should know - for some of the first two look like the third picture.
Due to its simplicity, the program can process images in the form of two ASCII characters - points (.) And asterisks (*). In the archives there are examples of images. To start, you can specify the first file in face, and the second boat. As a result, offer the program the third file facer and see how she finds it. Platform: |
Size: 2048 |
Author:Anton |
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Description: 基于MATLAB的人脸识别算法，使用2D-DCT,自组织算法以及离散余弦变换-A MATLAB based Face Recognition System using
Image Processing and Neural Networks Platform: |
Size: 558080 |
Author:LIXUE |
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Description: 用神经网络来进行人脸识别的程序，对脸部的表情进行识别，如高兴，伤心等-Using neural networks for face recognition program, to identify facial expressions such as happy, sad, etc. Platform: |
Size: 38852608 |
Author:liu |
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Description: opencv最新书籍《Master OpenCV with Practical Computer Vision Projects》。基于opencv2.4.3编写。采用了实例工程方式讲解。-opencv book:
Chapters:
Ch1) Cartoonifier and Skin Changer for Android, by Shervin Emami.
Ch2) Marker-based Augmented Reality on iPhone or iPad, by Khvedchenia Ievgen.
Ch3) Marker-less Augmented Reality, by Khvedchenia Ievgen.
Ch4) Exploring Structure from Motion using OpenCV, by Roy Shilkrot.
Ch5) Number Plate Recognition using SVM and Neural Networks, by David Escrivá.
Ch6) Non-rigid Face Tracking, by Jason Saragih.
Ch7) 3D Head Pose Estimation using AAM and POSIT, by Daniel Lélis Baggio.
Ch8) Face Recognition using Eigenfaces or Fisherfaces, by Shervin Emami.
Ch9) Developing Fluid Wall using the Microsoft Kinect, by Naureen Mahmood.
Platform: |
Size: 6326272 |
Author:王邦平 |
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Description: 基于DCT人脸识别算法代码，运行环境是在MATLAB中-A MATLAB based Face Recognition System using
Image Processing and Neural Networks Platform: |
Size: 37888 |
Author:藏锋 |
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Description: This project provides matlab class for implementation of convolutional neural networks. This networks was developed by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot navigation and others (see references for more info). Because of some architectural features of convolutional networks, such as weight sharing it is imposible to implement it using Matlab Neural Network Toolbox without it s source modifications. Platform: |
Size: 627712 |
Author:郭志 |
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Description: 多层前向反馈式神经网络是目前应用比较广泛的人工神经网络，其中BP(Back Propagation network，简称BP网络)学习算法是最著名的多层前向反馈式神经网络训练算法之一。该算法在图像处理和图像识别领域已经取得令人瞩目的成就，其主要思想是利用已知确定结果的样本模式对网络进行训练，然后利用训练好的网络进行图像的处理或识别。本文将讨论用MATLAB实现BP神经网络对人脸角度的分析。 -Multilayer feedforward neural network feedback is used widely in artificial neural networks, which BP (Back Propagation network, referred to as the BP network) learning algorithm is one of the feedback neural network training algorithm of the most famous multi-front. The algorithm in the field of image processing and image recognition has made remarkable achievements, the main idea is to use the known samples to determine the results of network training mode, and then use the trained network for image processing or recognition. This article will discuss the human face angle analysis using MATLAB BP neural network. Platform: |
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Author:张鹏 |
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Description: We present a visual assistive system that features mobile face detection and recognition in an uncon-strained environment from a mobile source using convolutional neural networks Platform: |
Size: 3631104 |
Author:alireza0675 |
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Search - face recognition using neural networks