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Contours (Cartography). --- Topographical maps.

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This unique book is the key to computer contouring, exploring in detail the practice and principles using a personal computer. Contouring allows a three dimensional view in two dimensions and is a fundamental technique to represent spatial data. All aspects of this type of representation are covered including data preparation, selecting contour intervals, interpolation and griding, computing volumes and output and display. Formulated for both the novice and the experienced user, this book initially conducts the reader through a step by step explanation of PC software and its application to per

Contours (Cartography) --- Computer programs. --- -Contour lines (Cartography) --- Isohypse --- Map contours --- Altitudes --- Computer programs --- Contour lines (Cartography) --- Cartography --- Topographic maps --- Contours (Cartography) - Computer programs

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Xenakis: His Life in Music is a full-length study of the influential contemporary composer Iannis Xenakis. Following the trajectory of Xenakis’s compositional development, James Harley, who studied with Xenakis, presents the works together with clear explanations of the technical and conceptual innovations that shaped them. Harley examines the relationship between the composer and two early influences: Messiaen and Le Corbusier. Particular attention is paid to analyzing works which were vital to the composer’s creative development, from early, unpublished works to the breakthrough pieces Metastasis and Pithoprakta, through the oft-discussed decade of formalization and the evolving styles of the succeeding three decades.

Composers --- Xenakis, Iannis, --- Xenakis, Yannis, --- Xenakēs, Giannēs, --- Xenakis, I. --- Ksenakis, I︠A︡nnis, --- Kusenakisu, Ianisu, --- Xenakēs, Iannēs, --- Xenakis, Jannis, --- sonic --- entities --- sustained --- sonority --- melodic --- contours --- corbusier --- olivier --- messiaen --- cluster

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This one-of-a-kind book presents many of the mathematical concepts, structures, and techniques used in the study of rays, waves, and scattering. Panoramic in scope, it includes discussions of how ocean waves are refracted around islands and underwater ridges, how seismic waves are refracted in the earth's interior, how atmospheric waves are scattered by mountains and ridges, how the scattering of light waves produces the blue sky, and meteorological phenomena such as rainbows and coronas.Rays, Waves, and Scattering is a valuable resource for practitioners, graduate students, and advanced undergraduates in applied mathematics, theoretical physics, and engineering. Bridging the gap between advanced treatments of the subject written for specialists and less mathematical books aimed at beginners, this unique mathematical compendium features problems and exercises throughout that are geared to various levels of sophistication, covering everything from Ptolemy's theorem to Airy integrals (as well as more technical material), and several informative appendixes.Provides a panoramic look at wave motion in many different contextsFeatures problems and exercises throughoutIncludes numerous appendixes, some on topics not often coveredAn ideal reference book for practitionersCan also serve as a supplemental text in classical applied mathematics, particularly wave theory and mathematical methods in physics and engineeringAccessible to anyone with a strong background in ordinary differential equations, partial differential equations, and functions of a complex variable

Mathematical physics. --- Physical mathematics --- Physics --- Mathematics --- Airy approximation. --- Airy functions. --- Airy integral. --- Airy theory. --- Airy wavefront. --- Alexander's dark band. --- Bessel functions. --- Earth. --- Fermat's principle. --- Fresnel integrals. --- Hamilton's principle. --- Hamilton-Jacobi equation. --- Hamilton-Jacobi theory. --- Hamiltonian. --- Hooke's law. --- Kepler's laws of planetary motion. --- Lagrangian. --- Liouville transformation. --- Love waves. --- Navier equations. --- Ptolemy's theorem. --- Rayleigh scattering. --- Schrödinger equation. --- Sir George Biddle Airy. --- Snell's laws. --- Taylor–Goldstein equation. --- WKB(J) approximation. --- Wiechert-Herglotz inverse problem. --- acoustic wave propagation. --- action. --- angle of minimum deviation. --- applied mathematics. --- atmospheric waves. --- billow clouds. --- boundary-value problem. --- buoyancy waves. --- caustics. --- classical mechanics. --- classical wave equation. --- colors. --- complex plane. --- constant phase lines. --- contours. --- corona. --- currents. --- cusp catastrophes. --- deep water waves. --- differential equations. --- diffraction catastrophes. --- diffraction. --- dispersion relations. --- dispersion. --- divergence problem. --- earthquakes. --- eikonal equation. --- elastic solid. --- elastic waves. --- elementary mathematics. --- equations of motion. --- fluid equations. --- fold catastrophes. --- free surface. --- geometric wavefronts. --- geometrical optics. --- glory. --- inhomogeneous medium. --- integrals. --- intensity law. --- internal gravity waves. --- inverse scattering problem. --- islands. --- leading waves. --- lee waves. --- light waves. --- long waves. --- mathematics. --- meteorological optics. --- mountain waves. --- ocean acoustic waveguides. --- ocean acoustics. --- ocean waves. --- one-dimensional waves. --- optics. --- path. --- plane wave incident. --- plane waves. --- polarization. --- potential well. --- rainbow. --- ray equations. --- ray optics. --- ray theory. --- rays. --- reflection. --- refraction. --- ridge. --- scattering. --- seafloor. --- seismic rays. --- seismic tomography. --- seismic waves. --- semicircle theorem. --- shallow water waves. --- ship waves. --- short waves. --- strain. --- stratified fluid. --- stress. --- surface gravity waves. --- surface waves. --- transient waves. --- tsunami propagation. --- tsunamis. --- wave energy. --- wave refraction. --- wave trapping. --- wavefront. --- wavepackets. --- waves. --- wind shear.

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In many machine learning applications, available datasets are sometimes incomplete, noisy or affected by artifacts. In supervised scenarios, it could happen that label information has low quality, which might include unbalanced training sets, noisy labels and other problems. Moreover, in practice, it is very common that available data samples are not enough to derive useful supervised or unsupervised classifiers. All these issues are commonly referred to as the low-quality data problem. This book collects novel contributions on machine learning methods for low-quality datasets, to contribute to the dissemination of new ideas to solve this challenging problem, and to provide clear examples of application in real scenarios.

open contours --- similarly shaped fish species --- Discrete Cosine Transform (DCT) --- Discrete Fourier Transform (DFT) --- Extreme Learning Machines (ELM) --- feature engineering --- small data-sets --- optimization --- machine learning --- preprocessing --- image generation --- weighted interpolation map --- binarization --- single sample per person --- root canal measurement --- multifrequency impedance --- data augmentation --- neural network --- functional magnetic resonance imaging --- independent component analysis --- deep learning --- recurrent neural network --- functional connectivity --- episodic memory --- small sample learning --- feature selection --- noise elimination --- space consistency --- label correlations --- empirical mode decomposition --- sparse representations --- tensor decomposition --- tensor completion --- machine translation --- pairwise evaluation --- educational data --- small datasets --- noisy datasets --- smart building --- Internet of Things (IoT) --- Markov Chain Monte Carlo (MCMC) --- ontology --- graph model --- Artificial Neural Network --- Discriminant Analysis --- dengue --- feature extraction --- sound event detection --- non-negative matrix factorization --- ultrasound images --- shadow detection --- shadow estimation --- auto-encoders --- semi-supervised learning --- prediction --- feature importance --- feature elimination --- hierarchical clustering --- Parkinson’s disease --- few-shot learning --- permutation-variable importance --- topological data analysis --- persistent entropy --- support-vector machine --- data science --- intelligent decision support --- social vulnerability --- gender-gap --- digital-gap --- COVID19 --- policy-making support --- artificial intelligence --- imperfect dataset