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Molière a-t-il tout piqué à Corneille ? Qui a écrit la Bible ? Comment a-t-on démasqué l'Unabomber ? En passant au crible les textes et leurs styles, linguistes et statisticiens mènent l'enquête grâce à la stylométrie. Cette méthode d'investigation révolutionnaire qui prend ses sources chez les scribes de Galilée, s'est solidifiée il y a plus d'un demi-siècle dans les couloirs de Harvard avant d'arriver dans nos tribunaux. L'objectif ? Identifier qui se cache derrière n'importe quel texte. De César à Shakespeare, en passant par les complotistes de l'affaire QAnon, Elena Ferrante ou encore le corbeau de l'affaire Grégory, la stylométrie n'épargne rien ni personne... au point d'élucider certains des plus vieux cold cases et mystères de l'histoire. Pour le meilleur - et pour le pire ?

Statistique linguistique. --- Stylistique. --- Enquêtes linguistiques. --- Données --- Compression (informatique). --- Qualité d'auteur --- Critique textuelle

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Psychoacoustique. --- Psychoacoustics --- Données --- Imagerie acoustique. --- Acoustic imaging --- Data compression (Computer science) --- Compression (informatique) --- Données

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Multimedia systems --- Image compression --- Coding theory --- Cryptography. --- Data compression (Computer science) --- Data encryption (computer science) --- Multimédias. --- Compression d'images. --- Codage. --- Cryptographie. --- Données --- Chiffrement (informatique) --- Compression (informatique) --- Multimédias. --- Données

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Data compression is one of the most important techniques in computing engineering. From archiving data to CD-ROMs and from coding theory to image analysis, many facets of computing make use of data compression in one form or another. This book is intended to provide an overview of the many different types of compression: it includes a taxonomy, an analysis of the most common systems of compression, discussion of their relative benefits and disadvantages, and their most common usages. Readers are presupposed to have a basic understanding of computer science: essentially the storage of data in bytes and bits and computing terminology, but otherwise this book is self-contained. The book divides naturally into four main parts based on the main branches of data compression: run length encoding, statistical methods, dictionary-based methods, and lossy image compression (where in contrast to the other techniques, information in the data may be lossed but an acceptable standard of image quality retained). Detailed descriptions of many of the most well-known compression techniques are covered including: Zip, BinHex, Huffman coding, GIF and many others.

Data compression (Computer science). --- Data compression (Computer science) --- Données --- Compression (Informatique) --- Data structures (Computer science). --- Data Structures and Information Theory. --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science)

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Ergodic theory. Information theory --- Mathematical control systems --- Information systems --- Data compression (Computer science) --- Données --- Compression (Informatique) --- 681.3*E4 --- Compression of data (Computer science) --- Compression of files (Computer science) --- Compression of text (Computer science) --- File compression (Computer science) --- Text compression (Computer science) --- Coding theory --- Database management --- File organization (Computer science) --- Data compression (Telecommunication) --- Coding and information theory: data compaction and compression; formal modelsof communication; nonsecret encoding schemes--See also {681.3*H11} --- Data compression (Computer science). --- 681.3*E4 Coding and information theory: data compaction and compression; formal modelsof communication; nonsecret encoding schemes--See also {681.3*H11} --- Données --- Complexity Analysis --- Coding --- Implementation --- Dictionary Method --- Np Complete