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Chinese characters --- Chinese language --- History --- Writing --- S15/0200 --- China: Language--General works --- Chinese characters - History --- Chinese language - Writing - History
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Chinese language --- Chinese characters. --- Chinois (Langue) --- Writing. --- Ecriture --- Caractères --- 003.33 --- Oosterse niet-Europese schriften --- 003.33 Oosterse niet-Europese schriften --- Chinese characters --- Ideography --- Chinese logographs --- Writing --- Alphabet --- S15/0316 --- China: Language--Styles of writing --- Chinese language - Writing.
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Les caractères chinois, parfois symboles des choses, généralement peintures du sens, peuvent être considérés comme une écriture qui en serait restée au stade de l'enfance. C'est peut-être la raison pour laquelle cet ouvrage peut s'adresser non seulement à ceux que l'écriture chinoise intéresse ou intrigue, à ceux qui apprennent le chinois, mais aussi à tous ceux, petits et grands, qui souhaitent faire quelques pas dans un univers graphique qui conserve des liens avec l'image et l'imaginaire. Sont présentés en tout près de 700 caractères, qui sont autant d'images ou d'associations d'images.
S15/0319 --- S15/0320 --- S15/0410 --- China: Language--Traditional characters (fantizi) --- China: Language--Simplified characters (jiantizi) --- China: Language--Textbooks: baihua --- Chinese characters --- Chinese language --- Calligraphy, Chinese --- Chinese calligraphy --- Ideography --- Chinese language - Alphabet --- Chinese logographs --- Chinese language - Writing
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This book provides an algorithmic perspective on the recent development of Chinese handwriting recognition. Two technically sound strategies, the segmentation-free and integrated segmentation-recognition strategy, are investigated and algorithms that have worked well in practice are primarily focused on. Baseline systems are initially presented for these strategies and are subsequently expanded on and incrementally improved. The sophisticated algorithms covered include: 1) string sample expansion algorithms which synthesize string samples from isolated characters or distort realistic string samples; 2) enhanced feature representation algorithms, e.g. enhanced four-plane features and Delta features; 3) novel learning algorithms, such as Perceptron learning with dynamic margin, MPE training and distributed training; and lastly 4) ensemble algorithms, that is, combining the two strategies using both parallel structure and serial structure. All the while, the book moves from basic to advanced algorithms, helping readers quickly embark on the study of Chinese handwriting recognition.
Chinese characters -- Data processing -- Congresses. --- Chinese language -- Writing -- Data processing -- Congresses. --- Computational linguistics -- Congresses. --- Natural language processing (Computer science) -- Congresses. --- Optical character recognition devices -- Congresses. --- Writing -- Identification -- Data processing -- Congresses. --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Electrical Engineering --- Applied Physics --- Technology - General --- Computer vision. --- Optical pattern recognition. --- Machine vision --- Vision, Computer --- Computer science. --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Pattern Recognition. --- Image Processing and Computer Vision. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Optical data processing. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment --- Optical character recognition. --- Graphology
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