This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of ...engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition: semi-supervised learning, combining clustering algorithms, and relevance feedback. · Thoroughly developed to include many more worked examples to give greater understanding of the various methods and techniques · Many more diagrams included--now in two color--to provide greater insight through visual presentation · Matlab code of the most common methods are given at the end of each chapter. · More Matlab code is available, together with an accompanying manual, via this site · Latest hot topics included to further the reference value of the text including non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, combining clustering algorithms. · An accompanying book with Matlab code of the most common methods and algorithms in the book, together with a descriptive summary, and solved examples including real-life data sets in imaging, and audio recognition. The companion book will be available separately or at a special packaged price (ISBN: 9780123744869).
Thoroughly developed to include many more worked examples to give greater understanding of the various methods and techniques Many more diagrams included--now in two color--to provide greater insight through visual presentation Matlab code of the most common methods are given at the end of each chapter An accompanying book with Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition. The companion book is available separately or at a special packaged price (Book ISBN: 9780123744869. Package ISBN: 9780123744913) Latest hot topics included to further the reference value of the text including non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, combining clustering algorithms Solutions manual, powerpoint slides, and additional resources are available to faculty using the text for their course. Register at www.textbooks.elsevier.com and search on "Theodoridis" to access resources for instructor.
Com o surgimento da internet e o crescimento das redes sociais, o compartilhamento de conteúdo, como imagens, áudios e vídeos, e o acesso a esse conteúdo por meio de sites e redes sociais, se tornou ...muito maior. O conteúdo compartilhado, sendo ele composto por imagens, áudios e/ou vídeos, pode não ser apropriado para todos os públicos ou ambientes, por diversas razões. Uma delas é em relação a nudez e pornografia, que é muito presente na internet e em redes sociais, e pode causar impactos negativos quando acessada em ambientes empresariais, assim como pode causar problemas no desenvolvimento e comportamento de crianças e adolescentes. Para que haja um controle do acesso a esses tipos de conteúdos, faz-se necessário o desenvolvimento de recursos que realizem filtragens. Diante disso, este trabalho busca contribuir com o desenvolvimento de uma ferramenta capaz de detectar nudez em imagens pela combinação de técnicas de processamento de imagens já existentes, como por exemplo a detecção de pixels de cor de pele, contagem de elementos conexos, técnicas de zoneamento e classificadores de nudez utilizando algoritmos de aprendizado de máquina. Os testes realizados no demonstraram uma acurácia de 90,5% no melhor dos casos.
Event-Related Potentials (ERP) are biological electrical signals synchronized with sensory, cognitive or motor stimuli and measured by electroencephalographs (EEG). ERP technique allows non-invasive ...analysis of brain functions. Based on the results obtained in Soto (2014) linguistic experiment, this work sought to obtain supervised classification scenarios for the classes proposed in the mentioned work, as well as the comparative study and the discussion of the classification results found, using the methodology proposed by Webb (2012).
Over the past decade, pattern recognition has been one of the fastest growth points in chemometrics. This has been catalysed by the increase in capabilities of automated instruments such as LCMS, ...GCMS, and NMR, to name a few, to obtain large quantities of data, and, in parallel, the significant growth in applications especially in biomedical analytical chemical measurements of extracts from humans and animals, together with the increased capabilities of desktop computing. The interpretation of such multivariate datasets has required the application and development of new chemometric techniques such as pattern recognition, the focus of this work.Included within the text are:‘Real world’ pattern recognition case studies from a wide variety of sources including biology, medicine, materials, pharmaceuticals, food, forensics and environmental science;Discussions of methods, many of which are also common in biology, biological analytical chemistry and machine learning;Common tools such as Partial Least Squares and Principal Components Analysis, as well as those that are rarely used in chemometrics such as Self Organising Maps and Support Vector Machines;Representation in full colour;Validation of models and hypothesis testing, and the underlying motivation of the methods, including how to avoid some common pitfalls.Relevant to active chemometricians and analytical scientists in industry, academia and government establishments as well as those involved in applying statistics and computational pattern recognition.
High Dynamic Range Imaging Erik Reinhard, Greg Ward, Sumanta Pattanaik, Paul Debevec
2005, 2006-12-31
eBook
High dynamic range imaging produces images with a much greater range of light and color than conventional imaging. The effect is stunning, as great as the difference between black-and-white and color ...television. High Dynamic Range Imaging is the first book to describe this exciting new field that is transforming the media and entertainment industries. Written by the foremost researchers in HDRI, it will explain and define this new technology for anyone who works with images, whether it is for computer graphics, film, video, photography, or lighting design.* Written by the leading researchers in HDRI * Covers all the areas of high dynamic range imaging including capture devices, display devices, file formats, dynamic range reduction, and image-based lighting * Includes a DVD with over 4 GB of HDR images as well as source code and binaries for numerous tone reproduction operators for Windows, Linux, and Mac OS X
A maioria dos dispositivos conectados à Internet usufrui dos serviços de DNS (Domain Name System) para resolução de nomes de domínios. A partir da afirmação de que a maioria das redes não restringe o ...tráfego de pacotes destinados aos serviços de DNS, técnicas de ataques podem ser aplicadas, fazendo com que uma simples requisição de resolução de nome aparentemente normal, possa ocasionar um ataque causando diversos transtornos às vítimas. Os ataques do tipo Spoofing consistem em enganar o dispositivo do usuário, fazendo com que o computador identifique o dispositivo do usuário malicioso, de maneira confiável. Por se tratar de um tipo de ataque de alta periculosidade, devido à inexistência de pesquisas e técnicas eficientes na sua identificação, procura-se encontrar soluções viáveis para detecção deste tipo de ataque. Este trabalho teve como objetivo a aplicação de técnicas de Reconhecimento de Padrões através da aplicação das técnicas de Seleção de Características e Classificação de características para detecção de DNS Spoofing em redes locais de computadores. Foram obtidos resultados com acurácia média de 98,33% +- 0,64% na detecção na classe de falha da rede, ou seja, quando essas estavam sob ataque de DNS Spoofing.
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