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Perceptual Organization for Artificial Vision Systems is an edited collection of invited contributions based on papers presented at The Workshop on Perceptual Organization in Computer Vision, held in Corfu, Greece, in September 1999. The theme of the workshop was `Assessing the State of the Community and Charting New Research Directions.'Perceptual organization can be defined as the ability to impose structural regularity on sensory data, so as to group sensory primitives arising from a common underlying cause. This book explores new models, theories, and algorithms for perceptual organization.Perceptual Organization for Artificial Vision Systems includes contributions by the world's leading researchers in the field. It explores new models, theories, and algorithms for perceptual organization, as well as demonstrates the means for bringing research results and theoretical principles to fruition in the construction of computer vision systems. The focus of this collection is on the design of artificial vision systems. The chapters comprise contributions from researchers in both computer vision and human vision.

Perceptual Organization for Artificial Vision Systems is an edited collection of invited contributions based on papers presented at The Workshop on Perceptual Organization in Computer Vision, held in Corfu, Greece, in September 1999. The theme of the workshop was `Assessing the State of the Community and Charting New Research Directions.'Perceptual organization can be defined as the ability to impose structural regularity on sensory data, so as to group sensory primitives arising from a common underlying cause. This book explores new models, theories, and algorithms for perceptual organization.Perceptual Organization for Artificial Vision Systems includes contributions by the world's leading researchers in the field. It explores new models, theories, and algorithms for perceptual organization, as well as demonstrates the means for bringing research results and theoretical principles to fruition in the construction of computer vision systems. The focus of this collection is on the design of artificial vision systems. The chapters comprise contributions from researchers in both computer vision and human vision.

Perceptual Organization for Artificial Vision Systems is an edited collection of invited contributions based on papers presented at The Workshop on Perceptual Organization in Computer Vision, held in Corfu, Greece, in September 1999. The theme of the workshop was `Assessing the State of the Community and Charting New Research Directions.'' Perceptual organization can be defined as the ability to impose structural regularity on sensory data, so as to group sensory primitives arising from a common underlying cause. This book explores new models, theories, and algorithms for perceptual organization. Perceptual Organization for Artificial Vision Systems includes contributions by the world''s leading researchers in the field. It explores new models, theories, and algorithms for perceptual organization, as well as demonstrates the means for bringing research results and theoretical principles to fruition in the construction of computer vision systems. The focus of this collection is on the design of artificial vision systems. The chapters comprise contributions from researchers in both computer vision and human vision.

This 2-volume-set constitutes the proceedings of 11th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2025, in Delhi, India, during December 11–14, 2025.This year the conference was structured primarily into the following tracks, namely, Artificial Intelligence, Bioinformatics, Computer Vision, Cyber-physical systems, Data Science, Document Understanding, Edge AI, Evolutionary Computation, Health Analytics, Image Processing, Medical Imaging, Natural Language Processing, Pattern Recognition, Quantum AI, Signal Processing, Soft Computing / Computational Intelligence, Speech and Audio Processing, Swarm Intelligence, Video Processing, AR-VR, and Haptics.

This 2-volume-set constitutes the proceedings of 11th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2025, in Delhi, India, during December 11–14, 2025.This year the conference was structured primarily into the following tracks, namely, Artificial Intelligence, Bioinformatics, Computer Vision, Cyber-physical systems, Data Science, Document Understanding, Edge AI, Evolutionary Computation, Health Analytics, Image Processing, Medical Imaging, Natural Language Processing, Pattern Recognition, Quantum AI, Signal Processing, Soft Computing / Computational Intelligence, Speech and Audio Processing, Swarm Intelligence, Video Processing, AR-VR, and Haptics.

This 2-volume-set constitutes the proceedings of 11th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2025, in Delhi, India, during December 11–14, 2025.This year the conference was structured primarily into the following tracks, namely, Artificial Intelligence, Bioinformatics, Computer Vision, Cyber-physical systems, Data Science, Document Understanding, Edge AI, Evolutionary Computation, Health Analytics, Image Processing, Medical Imaging, Natural Language Processing, Pattern Recognition, Quantum AI, Signal Processing, Soft Computing / Computational Intelligence, Speech and Audio Processing, Swarm Intelligence, Video Processing, AR-VR, and Haptics.

This 2-volume-set constitutes the proceedings of 11th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2025, in Delhi, India, during December 11–14, 2025.This year the conference was structured primarily into the following tracks, namely, Artificial Intelligence, Bioinformatics, Computer Vision, Cyber-physical systems, Data Science, Document Understanding, Edge AI, Evolutionary Computation, Health Analytics, Image Processing, Medical Imaging, Natural Language Processing, Pattern Recognition, Quantum AI, Signal Processing, Soft Computing / Computational Intelligence, Speech and Audio Processing, Swarm Intelligence, Video Processing, AR-VR, and Haptics.

This book constitutes the proceedings of the 10th Mexican Conference on Pattern Recognition, MCPR 2018, held in Puebla, Mexico, in June 2018. The 28 papers presented in this volume were carefully reviewed and selected from 44 submissions. They were organized in topical sections named: pattern recognition principles; deep learning, neural networks and associative memories; data mining; and computer vision.

This book constitutes the proceedings of the 10th Mexican Conference on Pattern Recognition, MCPR 2018, held in Puebla, Mexico, in June 2018. The 28 papers presented in this volume were carefully reviewed and selected from 44 submissions. They were organized in topical sections named: pattern recognition principles; deep learning, neural networks and associative memories; data mining; and computer vision.