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Corporate finance --- Business management

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Vivid graphics make hedge funds, how they work and how to invest in them, accessible for investors and finance professionals Despite the recent wave of scandals related to the hedge fund industry, interest in hedge funds as a relatively safe alternative investment remains high. Yet details about how the industry operates and the strategies employed by different types of hedge funds is hard to come by. With increasing calls from lawmakers and the media for industry reform, it is incumbent upon finance professionals and high-net-worth individuals to take a good look before leaping into hedge funds. That's where the Bloomberg Visual Guide to Hedge Funds comes in. It provides a graphically rich, comprehensive overview of the industry and its practitioners, zeroing in on how different types of hedge funds work. Based on extensive interviews with hedge fund managers, analysts and other industry experts, the book provides a detailed look at the industry and how it works Outlines investment strategies employed by both long and short hedge funds, as well as global macro strategies Arms you with need-to-know tips, tools and techniques for success with all hedge fund investment strategies Provides a highly visual presentation with an emphasis on graphics and professional applications Real-life examples take you inside how hedge funds illustrating how they operate, who manages them and who invests in them

Hedge funds.

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This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2018, held in Beijing, China, in August 2018. The 49 papers presented in this volume were carefully reviewed and selected from 75 submissions. They were organized in topical sections named: classification and clustering; deep learning and neurla networks; dissimilarity representations and Gaussian processes; semi and fully supervised learning methods; spatio-temporal pattern recognition and shape analysis; structural matching; multimedia analysis and understanding; and graph-theoretic methods. .

Computer science. --- Data structures (Computer science). --- Algorithms. --- Computer science --- Artificial intelligence. --- Image processing. --- Pattern recognition. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Pattern Recognition. --- Image Processing and Computer Vision. --- Algorithm Analysis and Problem Complexity. --- Discrete Mathematics in Computer Science. --- Data Structures. --- Mathematics. --- 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 --- Computer mathematics --- Discrete mathematics --- Algorism --- Algebra --- Arithmetic --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- File organization (Computer science) --- Abstract data types (Computer science) --- Informatics --- Science --- Mathematics --- Foundations --- Optical pattern recognition. --- Computer vision. --- Computer software. --- Computational complexity. --- Data structures (Computer scienc. --- Artificial Intelligence. --- Complexity, Computational --- Software, Computer --- Computer systems --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Pattern perception --- Perceptrons --- Visual discrimination --- Data structures (Computer science) --- Optical data processing. --- Computer science—Mathematics. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment

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This volume in the Springer Lecture Notes in Computer Science (LNCS) series contains the papers presented at the S+SSPR 2010 Workshops, which was the seventh occasion that SPR and SSPR workshops have been held jointly. S+SSPR 2010 was organized by TC1 and TC2, Technical Committees of the International Association for Pattern Recognition(IAPR), andheld inCesme, Izmir, whichis a seaside resort on the Aegean coast of Turkey. The conference took place during August 18–20, 2010, only a few days before the 20th International Conference on Pattern Recognition (ICPR) which was held in Istanbul. The aim of the series of workshops is to create an international forum for the presentation of the latest results and exchange of ideas between researchers in the ?elds of statistical and structural pattern recognition. SPR 2010 and SSPR 2010 received a total of 99 paper submissions from many di?erent countries around the world, giving it a truly international perspective, as has been the case for previous S+SSPR workshops. This volume contains 70 accepted papers, 39 for oral and 31 for poster presentation. In addition to par- lel oral sessions for SPR and SSPR, there were two joint oral sessions of interest to both SPR and SSPR communities. Furthermore, to enhance the workshop experience, there were two joint panel sessions on “Structural Learning” and “Clustering,” in which short author presentations were followed by discussion. Another innovation this year was the ?lming of the proceedings by Videol- tures.

Information retrieval --- Complex analysis --- Computer science --- Programming --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- complexe analyse (wiskunde) --- applicatiebeheer --- apps --- computers --- programmeren (informatica) --- informatiesystemen --- database management --- algoritmen --- KI (kunstmatige intelligentie) --- architectuur (informatica) --- AI (artificiële intelligentie)

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Hydrographic surveying