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Computer science --- Mathematical linguistics --- Pattern perception --- #TELE:d.d. Prof. A. J. J. Oosterlinck --- 681.3*I2 --- 681.3*I5 --- 681.5.016 --- 681.3*I5 Pattern recognition (Computing methodologies) --- Pattern recognition (Computing methodologies) --- 681.3*I2 Artificial intelligence. AI --- Artificial intelligence. AI --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Algebraic linguistics --- Language and languages --- Linguistics --- Linguistics, Mathematical --- Applied linguistics --- Information theory --- Computational linguistics --- 681.5.016 Automatic control engineering. Control systems, techniques, equipment. Cybernetic and automation technology--?.016 --- Automatic control engineering. Control systems, techniques, equipment. Cybernetic and automation technology--?.016 --- Statistical methods --- Mathematical models --- Perception de structure --- Linguistique mathématique --- ELSEVIER-B EPUB-LIV-FT --- Mathematical linguistics. --- Pattern perception. --- Pattern recognition systems --- Perception des structures. --- Reconnaissance des formes (informatique) --- Linguistique mathématique. --- Linguistique mathématique.
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Image processing --- Pattern recognition systems --- Integrated circuits --- Digital techniques --- Very large scale integration --- #TELE:d.d. Prof. A. J. J. Oosterlinck --- Pattern classification systems --- Pattern recognition computers --- Pattern perception --- Computer vision --- Very large scale integration of circuits --- VLSI circuits --- Digital image processing --- Digital electronics --- Image processing - Digital techniques --- Integrated circuits - Very large scale integration
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In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank
Pattern perception --- Mathematical linguistics. --- Mathematics. --- Algebraic linguistics --- Language and languages --- Linguistics --- Linguistics, Mathematical --- Applied linguistics --- Information theory --- Computational linguistics --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Statistical methods --- Mathematical models
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Pattern recognition systems --- 681.3*I54 --- 681.3*I5 --- Pattern classification systems --- Pattern recognition computers --- Pattern perception --- Computer vision --- 681.3*I5 Pattern recognition (Computing methodologies) --- Pattern recognition (Computing methodologies) --- 681.3*I54 Applications: computer vision; signal processing; text processing; waveform analysis (Pattern recognition) --- Applications: computer vision; signal processing; text processing; waveform analysis (Pattern recognition)
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Perceptrons. --- Statistical decision. --- Machine learning.
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In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank.
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