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Books on the topic 'M5P Algorithm'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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1

Ahmed, Mahmuda, Sophia Karagiorgou, Dieter Pfoser, and Carola Wenk. Map Construction Algorithms. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25166-0.

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2

Coloring mixed hypergraphs: Theory, algorithms and applications. Providence, R.I: American Mathematical Society, 2002.

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3

Athar, M. An investigation into map-matching algorithms forautomobilenavigation systems. Manchester: UMIST, 1993.

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4

Depth map and 3D imaging applications: Algorithms and technologies. Hershey, PA: Information Science Reference, 2012.

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5

Sanchez, Gustavo, Luciano Agostini, and César Marcon. Algorithms for Efficient and Fast 3D-HEVC Depth Map Encoding. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-25927-3.

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6

Yan, Haowen. Description Approaches and Automated Generalization Algorithms for Groups of Map Objects. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3678-2.

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7

Hulse, Paul. Applying genetic algorithms to importance map generation for Monte Carlo tracking shielding calculations. Salford: University of Salford, 1994.

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8

Sahai, A. K. An objective study of Indian summer monsoon variability using the self organizing map algorithms. Pune: Indian Institute of Tropical Meteorology, 2006.

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9

A, Reed Bruce, ed. Graph colouring and the probabilistic method. Berlin: Springer, 2002.

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10

Pfoser, Dieter, Mahmuda Ahmed, Sophia Karagiorgou, and Carola Wenk. Map Construction Algorithms. Springer, 2019.

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11

Wiggins, Geraint A., and Jamie Forth. Computational Creativity and Live Algorithms. Edited by Roger T. Dean and Alex McLean. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190226992.013.19.

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This chapter examines the field of algorithmic composition from the perspective of computational creativity. It begins by introducing the idea of computational creativity as a philosophical perspective. Next, it introduces a method for consideration of the properties of creative systems, the Creative Systems Framework (CSF). The CSF becomes the starting point for a discussion of a system of comparison specific to algorithmic composition as an artistic and technical practice. Finally, the chapter sketches a road map for future developments in algorithmic composition and live coding, in these terms.

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12

Matthews, Charles. Algorithmic Thinking and Central Javanese Gamelan. Edited by Roger T. Dean and Alex McLean. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190226992.013.25.

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This chapter explores the idea of central Javanese gamelan (also known as karawitan) as rule-based music, examining areas where algorithmic thinking can take place in both performance and composition. Different types of performance techniques are discussed, exploring the degree to which rules can be used to generate melodic content from a notated outline called the balungan (meaning ‘skeleton’ or ‘frame’ in Javanese). Several applications of algorithms in the contexts of ethnomusicology and composition are presented, with a focus on grammars and rewriting systems. This leads to a discussion of the author’s work with rule-based systems in composition and performance, including integration of computer parts in a live gamelan ensemble through augmented instruments. The chapter concludes with an overview of Pipilan: a piece of software developed in Max/MSP for computer-aided composition, which has also been used to facilitate audience participation in performance and installation settings.

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13

Sanchez, Gustavo, Luciano Agostini, and César Marcon. Algorithms for Efficient and Fast 3D-HEVC Depth Map Encoding. Springer, 2019.

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14

Yan, Haowen. Description Approaches and Automated Generalization Algorithms for Groups of Map Objects. Springer, 2019.

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15

United States. National Aeronautics and Space Administration., ed. Algorithms and programming tools for image processing on the MPP.: Final report. Ithaca, N.Y: School of Electrical Engineering, Cornell University, 1988.

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16

C, Jorgensen Charles, and Ames Research Center, eds. Toward a more robust pruning procedure for MLP networks. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1998.

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17

Aragues, Rosario, Carlos Sagüés, and Youcef Mezouar. Parallel and Distributed Map Merging and Localization: Algorithms, Tools and Strategies for Robotic Networks. Springer, 2017.

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18

Mitchinson, Ben. Attention and orienting. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0027.

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This chapter describes the close relationship between the mental faculty of attention and the physical faculty of orienting, and the importance of this relationship to the construction of artificial biomimetic systems. It reviews the importance of physical orienting to natural motor behavior, which places attention management at the core of all behaviors (“orienting is acting”), and the concomitant social role of physical orienting both in expressing and revealing the focus of a mind. The article highlights the efficiency of top-down and bottom-up processing for behavioral control, using map-based saliency processing as a model, and the suitability of map-based algorithms for parallel or bespoke computation. Given this, and the similar nature of the challenges faced by artificial and natural sensorimotor systems, it is argued that attention management may be a, if not the, key component of future artificial motor control systems.

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19

Little, Anthony Russell. An evaluation of selected computer-assisted line simplification algorithms in the context of map accuracy standards. 1988.

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20

Boudreau, Joseph F., and Eric S. Swanson. Templates, the standard C++ library, and modern C++. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0017.

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This chapter is devoted to programming techniques which rely on the C++ template mechanism. This mechanism, which is the basis of a computing style known as generic programming, allows whole families of functions and classes to be easily written. It is described early in the chapter. A host of extremely useful template functions and classes is universally available in the C++ standard library, including container classes (vector, list, set, and map) and algorithms used to sort, shuffle, and otherwise manipulate or query their contents. The chapter closes with an introduction to the newer constructs of modern C++: smart pointers, lambda functions, the auto keyword, range-based for loops, and more. An application to group theory is explored in the exercises.

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21

Conversion-integration of MSFC nonlinear signal diagnostic analysis algorithms for realtime execution on MSFC's MPP Prototype System: Final report, NASA contract no. NAS8-40341. Huntsville, AL: AI Signal Research, Inc., 1996.

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22

Conversion-integration of MSFC nonlinear signal diagnostic analysis algorithms for realtime execution on MSFC's MPP Prototype System: Final report, NASA contract no. NAS8-40341. Huntsville, AL: AI Signal Research, Inc., 1996.

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23

United States. National Aeronautics and Space Administration., ed. Conversion-integration of MSFC nonlinear signal diagnostic analysis algorithms for realtime execution on MSFC's MPP Prototype System: Final report, NASA contract no. NAS8-40341. Huntsville, AL: AI Signal Research, Inc., 1996.

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24

Algorithms and programming tools for image processing on the MPP: #2, report for the period March 1986 to August 1985 [sic]. Ithaca, N.Y: School of Electrical Engineering, Cornell University, 1986.

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25

Benkler, Yochai, Robert Farris, and Hal Roberts. Network Propaganda. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190923624.001.0001.

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This book examines the shape, composition, and practices of the United States political media landscape. It explores the roots of the current epistemic crisis in political communication with a focus on the remarkable 2016 U.S. president election culminating in the victory of Donald Trump and the first year of his presidency. The authors present a detailed map of the American political media landscape based on the analysis of millions of stories and social media posts, revealing a highly polarized and asymmetric media ecosystem. Detailed case studies track the emergence and propagation of disinformation in the American public sphere that took advantage of structural weaknesses in the media institutions across the political spectrum. This book describes how the conservative faction led by Steve Bannon and funded by Robert Mercer was able to inject opposition research into the mainstream media agenda that left an unsubstantiated but indelible stain of corruption on the Clinton campaign. The authors also document how Fox News deflects negative coverage of President Trump and has promoted a series of exaggerated and fabricated counter narratives to defend the president against the damaging news coming out of the Mueller investigation. Based on an analysis of the actors that sought to influence political public discourse, this book argues that the current problems of media and democracy are not the result of Russian interference, behavioral microtargeting and algorithms on social media, political clickbait, hackers, sockpuppets, or trolls, but of asymmetric media structures decades in the making. The crisis is political, not technological.

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