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Computer Vision

Most popular at the top

  • Scaling up Machine Learningby Ron Bekkerman; Mikhail Bilenko; John Langford

    Cambridge University Press 2011; US$ 80.00

    This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies. more...

  • Density Ratio Estimation in Machine Learningby Masashi Sugiyama; Taiji Suzuki; Takafumi Kanamori

    Cambridge University Press 2012; US$ 112.00

    This book introduces theories, methods and applications of density ratio estimation, a newly emerging paradigm in the machine learning community. more...

  • Computer Visionby Simon J. D. Prince

    Cambridge University Press 2012; US$ 80.00

    A modern treatment focusing on learning and inference, with minimal prerequisites, real-world examples and implementable algorithms. more...


    World Scientific Publishing Company 2012; US$ 150.00

    This book focuses on computational intelligence techniques and their applications — fast-growing and promising research topics that have drawn a great deal of attention from researchers over the years. It brings together many different aspects of the current research on intelligence technologies such as neural networks, support vector machines,... more...

  • From Humans to Computersby V.V. Alexandrov; N.D. Gorsky

    World Scientific Publishing Company 1991; US$ 110.00

    This book considers computer vision to be an integral part of the artificial intelligence system. The core of the book is an analysis of possible approaches to the creation of artificial vision systems, which simulate human visual perception. Much attention is paid to the latest achievements in visual psychology and physiology, the description of the... more...

  • Kernels for Structured Databy Thomas Gartner

    World Scientific Publishing Company 2008; US$ 128.00

    This book provides a unique treatment of an important area of machine learning and answers the question of how kernel methods can be applied to structured data. Kernel methods are a class of state-of-the-art learning algorithms that exhibit excellent learning results in several application domains. Originally, kernel methods were developed with data... more...

  • Research in Computer and Robot Visionby Colin Archibald; Paul Kwok

    World Scientific Publishing Company 1995; US$ 229.00

    Research in Computer and Robot Vision is directed toward researchers and graduate students in the field of computer vision. A broad spectrum of recent research is presented including sensing and navigation for mobile robots, the extraction of lines, curves, surfaces, and skeletons from intensity images and range images, human motion, and feature extraction.... more...

  • Advances in Oriental Document Analysis and Recognition Techniquesby Seong-Whan Lee; Yuan Y. Tang

    World Scientific Publishing Company 1999; US$ 132.00

    In recent years, rapid progress has been made in computer processing of oriental languages, and the research developments in this area have resulted in tremendous changes in handwriting processing, printed oriental character recognition, document analysis and recognition, automatic input methodologies for oriental languages, etc. Advances in computer... more...

  • Computer Vision and Shape Recognitionby A. Krzyak

    World Scientific Publishing Company 1989; US$ 194.00

    This is an up-to-date volume of selected and expanded papers originating from Vision Interface 88, a conference held in Edmonton, Canada. A broad range of topics are covered-from image processing to hardware design. They include robot vision, biomedical imaging, remote sensing and parallel processing, shape recognition and features, computational methods... more...

  • Concise Computer Visionby Reinhard Klette

    Springer 2014; US$ 59.99

    This textbook provides an accessible general introduction to the essential topics in computer vision. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. Features: provides an introduction to the basic notation and mathematical concepts for describing an image and the key concepts for mapping an... more...