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Geophysics --- Data processing. --- Pattern perception. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception
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Pattern perception. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception
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Pattern perception --- Perception des structures --- Patroonherkenning. --- Périodiques. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception
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Personal space --- Space perception --- Spatial perception --- Perception --- Spatial behavior --- Figure-ground perception --- Geographical perception --- Human territoriality --- Interpersonal relations --- Space
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The two-volume set CCIS 1332 and 1333 constitutes thoroughly refereed contributions presented at the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020.* For ICONIP 2020 a total of 378 papers was carefully reviewed and selected for publication out of 618 submissions. The 191 papers included in this volume set were organized in topical sections as follows: data mining; healthcare analytics-improving healthcare outcomes using big data analytics; human activity recognition; image processing and computer vision; natural language processing; recommender systems; the 13th international workshop on artificial intelligence and cybersecurity; computational intelligence; machine learning; neural network models; robotics and control; and time series analysis. * The conference was held virtually due to the COVID-19 pandemic.
Pattern recognition. --- Pattern Recognition. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Neural networks (Computer science)
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The 2nd edition is an update of the book Wavelet Theory and its Application to Pattern Recognition published in 2000. Three new chapters, which are research results conducted during 2001-2008, are added. The book consists of three parts - the first presents a brief survey of the status of pattern recognition with wavelet theory; the second contains the basic theory of wavelet analysis; the third includes applications of wavelet theory to pattern recognition. The new book provides a bibliography of 170 references including the current state-of-the-art theory and applications of wavelet
Wavelets (Mathematics) --- Pattern perception. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Wavelet analysis --- Harmonic analysis --- Pattern perception
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This is not a purely mathematical book. It presents the basic principle of wavelet theory to electrical and electronic engineers, computer scientists, and students, as well as the ideas of how wavelets can be applied to pattern recognition. It also contains many novel research results from the authors' research team.
Wavelets (Mathematics) --- Pattern perception. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Wavelet analysis --- Harmonic analysis
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Auditory perception. --- Space perception. --- Spatial perception --- Perception --- Spatial behavior --- Figure-ground perception --- Geographical perception --- Sound perception --- Hearing --- Word deafness
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Cognitive psychology --- Affective and dynamic functions --- Mental representation. --- Space perception. --- Space perception --- Mental representation --- Representation, Mental --- Abstraction --- Perception --- Spatial perception --- Spatial behavior --- Figure-ground perception --- Geographical perception
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Pattern recognition is a very wide research field. It involves factors as diverse as sensors, feature extraction, pattern classification, decision fusion, applications and others. The signals processed are commonly one, two or three dimensional, the processing is done in real- time or takes hours and days, some systems look for one narrow object class, others search huge databases for entries with at least a small amount of similarity. No single person can claim expertise across the whole field, which develops rapidly, updates its paradigms and comprehends several philosophical approaches. This book reflects this diversity by presenting a selection of recent developments within the area of pattern recognition and related fields. It covers theoretical advances in classification and feature extraction as well as application-oriented works. Authors of these 25 works present and advocate recent achievements of their research related to the field of pattern recognition.
Pattern perception. --- Pattern recognition systems. --- Pattern classification systems --- Pattern recognition computers --- Pattern perception --- Computer vision --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Machine learning
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