【正文】 omputer Vision and Cluster Computing) is a research group focusing on clusterbased puter vision within the Spiral Architecture. The mission of the Center for Image Analysis is to foster multidisciplinary research in image, multimedia and related technologies by establishing links between academic institutes, industry and government agencies, and to transfer key technologies to help industry build next generation mercial and military imaging and multimedia systems. 可以通過它來(lái)搜索全世界各地的知名的計(jì)算機(jī)視覺研究組(CV Groups)，極力推薦。這里有一個(gè)較全面介紹它的庫(kù)函數(shù)的文檔，當(dāng)然你也可以下載壓縮的GZIP包，里面包含TexInfo格式的文檔。你可以在此基礎(chǔ)上構(gòu)建自己的專用圖像處理工具包。 三、搜索資源當(dāng)然這里基本的搜索引擎還是必須要依靠的，比如Google等，可以到我常用的鏈接看看。大名鼎鼎！專長(zhǎng)是：理解貝葉斯模型。 ~ablake/ 1977年畢業(yè)于劍橋大學(xué)三一學(xué)院并或數(shù)學(xué)與電子科學(xué)學(xué)士學(xué)位。主要工作領(lǐng)域是計(jì)算機(jī)視覺。他們的Face Detection作的絕對(duì)是世界一流。 這位老牛在1963年就獲得了MIT的博士學(xué)位！他領(lǐng)導(dǎo)的Image Lab比較出名的是指紋識(shí)別。s Review Bibliographies on Neural Networks Intelligent Motion Control with an Artificial Cerebellum Kernel Machines Some Neural Networks Research Organizations Neural Network Modeling in Vision Research Neural Networks and Machine Learning Neural Application Software Neural Network Toolbox for MATLAB Netlab Software Kunama Systems Limited Computer Vision Computer Vision Homepage, Carnegie Mellon UniversityAnnotated Computer Vision Bibliography Lawrence Berkeley National Lab Computer Vision and Robotics Applications CVonline by University of Edinburgh The Evolving, Distributed, NonProprietary, OnLine Compendium of Computer Vision, Computer Vision Handbook, Vision Systems Courseware Research Activities in Computer Vision Vision Systems Acronyms Dictionary of Terms in Human and Animal Vision Metrology based on Computer Vision Digital PhotographyDigital Photography, Scanning, and Image Processing Educational Resources, Universities Center for Image Processing in Education Library of Congress Call Numbers Related to Imaging Science by Rochester Institute of Technology Mathematical Experiences through Image Processing, University of Washington Vismod Tech Reports and Publications, MIT Vision Lab PhD dissertation list, University of Antwerp ~visielab/ INRIA (France) Research Projects: HumanComputer Interaction, Image Processing, Data Management, Knowledge Systems Image Processing Resources ~rls3/ Publications of Carsten Steger FAQs FAQ Robotics FAQ Where39。這里列出了50名優(yōu)秀網(wǎng)站和網(wǎng)頁(yè)清單，這些網(wǎng)站提供c/c++源代碼。我已盡力包括最 佳的C/C++源代碼的網(wǎng)站。 ++腳本和程序。 ++免費(fèi)的源代碼 + +編程資源。 ++lang:camp。 1 1++資源代碼項(xiàng)目。 1~burkardt/cpp_src/ 這是一個(gè)全面的關(guān)于C++的345個(gè)源代碼清單。 1~weiss/dsaa_c++/code/ C++語(yǔ)言數(shù)據(jù)結(jié)構(gòu)與算法分析（第二版）的源代碼。 1++源代碼。 2~hetrick/ 免費(fèi)的C/C++數(shù)值計(jì)算源代碼。 2++源代碼和其它有用的工具。 2++網(wǎng)站鏈接列表的網(wǎng)頁(yè)。 2ftp://++用戶雜志 2ftp://3 3++源代碼，Codebeach提供 3++編程語(yǔ)言 3C + +和C＃。 ，圖像和聲音源代碼范例。 4++電子書和源代碼示例。 4++。 4~reingold/ Edward M. Reingold39。 4++源代碼檔案。 4++的IT工具框。人工智能牛人主頁(yè)：~niyogi/~jerryzhu/~chapelle~xiaofei/~bs~denzho/~kumar/dmbook/item5 (resources for the book of the introduction of data mining by Pangning Tan . )（國(guó)內(nèi)已經(jīng)有相應(yīng)的中文版）~roweis/lle/ (lle算法源代碼及其相關(guān)論文)（data clustering）~roweis/ (里面有好多資源)~lawhiu/ (manifold learning)~wittman/mani/ (manifold learning demo in matlab)~zhangjp/literatures/MLF/ (manifold learning in matlab)(semi supervised learning with manifold method by Belkin)(isomap主頁(yè))~tgd/ （國(guó)際著名的人工智能專家 Thomas G. Dietterich）~jordan/ （MIchael ）~awm/ (Andrew W. Moore39。）Kernel MethodsAlexander J. SmolaMaximum Mean Discrepancy (MMD), HilbertSchmidt Independence Criterion (HSIC)Bernhard Sch?lkopfKernel PCAJames T KwokPreImage, Kernel Learning, Core Vector Machine(CVM)Jieping YeKernel Learning, Linear Discriminate Analysis, Dimension DeductionMultiTask LearningAndreas ArgyriouMultiTask Feature LearningCharles A. MicchelliMultiTask Feature Learning, MultiTask Kernel LearningMassimiliano PontilMultiTask Feature LearningYiming YingMultiTask Feature Learning, MultiTask Kernel LearningSemisupervised LearningPartha NiyogiManifold Regularization, Laplacian EigenmapsMikhail BelkinManifold Regularization, Laplacian EigenmapsVikas SindhwaniManifold RegularizationXiaojin ZhuGraphbased Semisupervised LearningMultiple Instance LearningSally A GoldmanEMDD, DDSVM, Multiple Instance Semi Supervised Learning(MISS)Dimensionality ReductionNeil LawrenceGaussian Process Latent Variable Models (GPLVM)Lawrence K. SaulMaximum Variance Unfolding(MVU), Semidefinite Embedding(SDE)Machine LearningMichael I. JordanGraphical ModelsJohn LaffertyDiffusion Kernels, Graphical ModelsDaphne KollerLogic, ProbabilityZhang TongTheoretical Analysis of Statistical Algorithms, Multitask Learning, Graphbased Semisupervised LearningZoubin GhahramaniBayesian approaches to machine learning