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[AI-NN-PR] MushroomClassification

Description: opencv实现的mushroom数据的分类，一共有八种不同的学习方法，包括贝叶斯、SVM、神经网络，等等。-opencv implementation mushroom data classification, a total of eight kinds of different learning methods, including Bayesian, SVM, neural networks, and so on.
Platform: | Size: 6834176 | Author: zhouguoguo | Hits:

[OpenCV] ACNproj

Description: Object tracking using Radial Basis Function Networks(Neural networks). The implementation is done in OpenCV.
Platform: | Size: 91136 | Author: Rickesh | Hits:

[Other] Mastering-OpenCV

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 | Hits:

[matlab] DeepLearnToolbox_CNN_lzbV2.0

Description: DeepLearnToolbox_CNN_lzbV2.0 深度学习,卷积神经网络,Matlab工具箱 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusbergpalm/DeepLearnToolbox 作者：陆振波 电子邮件：luzhenbo2@qq.com 个人博客: http://blog.sina.com.cn/luzhenbo2 毕业院校：海军工程大学，船舶与海洋工程(水声工程)，博士 精通方向：数据挖掘，数字信号(图像、视频)处理，人工智能与模式识别，群体智能优化，非线性与混沌，支持向量机，Matlab与VC++混编 擅长技能：战略规划，团队管理，C，C++，Matlab，OpenCV，DSP，并行计算，图像处理，模式识别，机器学习，智能视觉，神经网络，人脸检测，行人检测，车牌识别，机器视觉，特征提取，支持向量机，无人驾驶，自动驾驶，智能眼镜，辅助驾驶，ADAS，AdaBoost，LBP，HOG，MeanShift，目标检测，目标识别，目标跟踪，数据挖掘，大数据 -DeepLearnToolbox CNN lzbV2.0 Deep Learning, convolution neural network, Matlab toolbox reference: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusbergpalm/DeepLearnToolbox Author: Lu Zhenbo E-mail: luzhenbo2@qq.com Personal blog: http://blog.sina.com.cn/luzhenbo2 Graduated: Naval University of Engineering, Naval Architecture and Marine Engineering (Underwater Acoustic), Dr. Proficient direction: data mining, digital signal (image, video) processing, artificial intelligence and pattern recognition, swarm intelligence optimization, nonlinear and chaotic, support vector machines, Matlab and VC++ mixed Good skills: strategic planning, team management, C, C++, Matlab, OpenCV, DSP, parallel computing, image processing, pattern recognition, machine learning, intelligent vision, neural networks, face detection, pedestrian detection, lice
Platform: | Size: 980992 | Author: 陆振波 | Hits:

[AI-NN-PR] DeepLearnToolbox_CNN_lzbV3.0

Description: CNN - 主程序 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusbergpalm/DeepLearnToolbox 作者：陆振波 电子邮件：luzhenbo2@qq.com 个人博客: http://blog.sina.com.cn/luzhenbo2 毕业院校：海军工程大学，船舶与海洋工程(水声工程)，博士 精通方向：信号处理，图像处理，人工智能，模式识别，支持向量机，深度学习，机器学习，机器视觉，群体智能，Matlab与VC++混编 擅长技能：战略规划，团队管理，C，C++，Matlab，OpenCV，DSP，并行计算，图像处理，智能视觉，卷积神经网络，人脸检测，行人检测，车牌识别，特征提取，智能眼镜，辅助驾驶，ADAS，AdaBoost，LBP，HOG，MeanShift，目标检测，目标识别，目标跟踪，大数据 - CNN- the main program reference: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusbergpalm/DeepLearnToolbox Author: Lu Zhenbo E-mail: luzhenbo2@qq.com Personal blog: http://blog.sina.com.cn/luzhenbo2 Graduated: Naval University of Engineering, Naval Architecture and Marine Engineering (Underwater Acoustic), Dr. Proficient direction: signal processing, image processing, artificial intelligence, pattern recognition, support vector machines, deep learning, machine learning, machine vision, swarm intelligence, Matlab and VC++ mixed Good skills: strategic planning, team management, C, C++, Matlab, OpenCV, DSP, parallel computing, image processing, intelligent vision, convolution neural network, face detection, pedestrian detection, license plate recognition, feature extraction, smart glasses, driver assistance, ADAS, AdaBoost, LBP, H
Platform: | Size: 982016 | Author: 陆振波 | Hits:

[Special Effects] cvpr15deepcompare-master

Description: Code for CVPR15 paper Learning to Compare Image Patches via Convolutional Neural Networks - This package allows researches to apply the described networks to match image patches and extract corresponding patches. We tried to make the code as easy to use as possible. The original models were trained with Torch ( http://torch.ch ) and we release them in Torch7 and binary formats with C++ bindings which do not require Torch installation. Thus we provide example code how to use the models in Torch, MATLAB and with OpenCV http://opencv.org -Code for CVPR15 paper Learning to Compare Image Patches via Convolutional Neural Networks - This package allows researches to apply the described networks to match image patches and extract corresponding patches. We tried to make the code as easy to use as possible. The original models were trained with Torch ( http://torch.ch ) and we release them in Torch7 and binary formats with C++ bindings which do not require Torch installation. Thus we provide example code how to use the models in Torch, MATLAB and with OpenCV http://opencv.org
Platform: | Size: 21504 | Author: 黄飞 | Hits:

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