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The pattern recognition and machine learning communities have, until recently, focused mainly on feature-vector representations, typically considering objects in isolation. However, this paradigm is being increasingly challenged by similarity-based approaches, which recognize the importance of relational and similarity information. This accessible text/reference presents a coherent overview of the emerging field of non-Euclidean similarity learning. The book presents a broad range of perspectives on similarity-based pattern analysis and recognition methods, from purely theoretical challenges to practical, real-world applications. The coverage includes both supervised and unsupervised learning paradigms, as well as generative and discriminative models. Topics and features: Explores the origination and causes of non-Euclidean (dis)similarity measures, and how they influence the performance of traditional classification algorithms Reviews similarity measures for non-vectorial data, considering both a “kernel tailoring” approach and a strategy for learning similarities directly from training data Describes various methods for “structure-preserving” embeddings of structured data Formulates classical pattern recognition problems from a purely game-theoretic perspective Examines two large-scale biomedical imaging applications that provide assistance in the diagnosis of physical and mental illnesses from tissue microarray images and MRI images This pioneering work is essential reading for graduate students and researchers seeking an introduction to this important and diverse subject. Marcello Pelillo is a Full Professor of Computer Science at the University of Venice, Italy. He is a Fellow of the IEEE and of the IAPR.

Biometric identification. --- Human activity recognition. --- Ubiquitous computing. --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Electrical Engineering --- Computer Science --- Computer vision. --- Image analysis. --- Pattern recognition systems. --- Pattern classification systems --- Pattern recognition computers --- Analysis of images --- Image interpretation --- Machine vision --- Vision, Computer --- Computer science. --- Pattern recognition. --- Computer Science. --- Pattern Recognition. --- Pattern perception --- Computer vision --- Imaging systems --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Optical pattern recognition. --- Optical data processing --- Perceptrons --- Visual discrimination --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception

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This book constitutes the proceedings of the Second International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD 2013, which was held in York, UK, in July 2013. The 18 papers presented were carefully reviewed and selected from 33 submissions. They cover a wide range of problems and perspectives, from supervised to unsupervised learning, from generative to discriminative models, from theoretical issues to real-world practical applications, and offer a timely picture of the state of the art in the field.

Computer science. --- Computer software. --- Database management. --- Artificial intelligence. --- Computer vision. --- Optical pattern recognition. --- Computer Science. --- Pattern Recognition. --- Image Processing and Computer Vision. --- Artificial Intelligence (incl. Robotics). --- Database Management. --- Algorithm Analysis and Problem Complexity. --- Information Systems Applications (incl. Internet). --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Computer Science --- Electrical Engineering --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Software, Computer --- Informatics --- Machine vision --- Vision, Computer --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Algorithms. --- Image processing. --- Pattern recognition. --- Pattern recognition systems --- Computer vision --- Artificial Intelligence. --- Electronic data processing --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Artificial intelligence --- Image processing --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Computer systems --- Optical data processing. --- Application software. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Algorism --- Algebra --- Arithmetic --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Optical equipment --- Foundations

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"A collection of critical essays dealing with the social and ethical impacts of AI including issues of trust, reliability, and bias"--

Artificial intelligence --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Moral and ethical aspects --- Social aspects --- Moral and ethical aspects. --- Social aspects. --- COMPUTERS / Intelligence (AI) & Semantics --- COMPUTERS / Human-Computer Interaction (HCI) --- COMPUTERS / Social Aspects

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This book constitutes the refereed proceedings of the International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR'97, held in Venice, Italy, in May 1997. The book presents 29 revised full papers selected from a total of 62 submissions. Also included are four full invited papers and a keynote paper by leading researchers. The volume is organized in sections on contours and deformable models, Markov random fields, deterministic methods, object recognition, evolutionary search, structural models, and applications. The volume is the first comprehensive documentation of the application of energy minimization techniques in the areas of compiler vision and pattern recognition.

Computer vision --- Pattern recognition systems --- Neural networks (Computer science) --- Evolutionary computation --- Simulated annealing (Mathematics) --- Congresses. --- Applied Physics --- Engineering & Applied Sciences --- Congresses --- Algorithm, Annealing --- Algorithm, Probabilistic exchange --- Annealing, Monte Carlo --- Annealing, Simulated --- Annealing algorithm --- Cooling, Statistical --- Exchange algorithm, Probabilistic --- Hill climbing, Probabilistic --- Monte Carlo annealing --- Probabilistic exchange algorithm --- Probabilistic hill climbing --- Relaxation, Stochastic --- Statistical cooling --- Stochastic relaxation --- Computer science. --- Computers. --- Algorithms. --- Artificial intelligence. --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Pattern Recognition. --- Image Processing and Computer Vision. --- Computer Graphics. --- Algorithm Analysis and Problem Complexity. --- Computation by Abstract Devices. --- Optical pattern recognition. --- Computer vision. --- Computer software. --- Artificial Intelligence. --- Software, Computer --- Computer systems --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Informatics --- Science --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Digital techniques --- Optical data processing. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Cybernetics --- Calculators --- Cyberspace --- Algorism --- Algebra --- Arithmetic --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Foundations --- Optical equipment --- Computer vision - Congresses. --- Pattern recognition systems - Congresses. --- Neural networks (Computer science) - Congresses. --- Evolutionary computation - Congresses. --- Simulated annealing (Mathematics) - Congresses.

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This book constitutes the proceedings of the First International Workshop on Similarity Based Pattern Recognition, SIMBAD 2011, held in Venice, Italy, in September 2011. The 16 full papers and 7 poster papers presented were carefully reviewed and selected from 35 submissions. The contributions are organized in topical sections on dissimilarity characterization and analysis; generative models of similarity data; graph-based and relational models; clustering and dissimilarity data; applications; spectral methods and embedding.

Engineering & Applied Sciences --- Electrical & Computer Engineering --- Computer Science --- Electrical Engineering --- Pattern recognition systems --- Computer science. --- Algorithms. --- Database management. --- Artificial intelligence. --- Image processing. --- Pattern recognition. --- Computer Science. --- Pattern Recognition. --- Image Processing and Computer Vision. --- Artificial Intelligence (incl. Robotics). --- Database Management. --- Algorithm Analysis and Problem Complexity. --- Information Systems Applications (incl. Internet). --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Algorism --- Algebra --- Arithmetic --- Informatics --- Science --- Foundations --- Optical pattern recognition. --- Computer vision. --- Computer software. --- Artificial Intelligence. --- Pattern perception --- Perceptrons --- Visual discrimination --- Software, Computer --- Computer systems --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Optical data processing. --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment