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Handbook Of Pattern Recognition And Computer Vision (3rd Edition)

The book provides an up-to-date and authoritative treatment of pattern recognition and computer vision, with chapters written by leaders;

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Pattern Recognition

sections on pattern recognition and artificial intelligence techniques, image processing and analysis, robotics and remote sensing, natural;

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Handbook Of Pattern Recognition And Computer Vision

Both pattern recognition and computer vision have experienced rapid progress in the last twenty-five years. This book provides the latest;

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

results in the areas of pattern recognition, biometrics, image processing, computer vision, speech recognition, and remote sensing. They;

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Pattern Recognition and Machine Intelligence

The two-volume set of LNCS 11941 and 11942 constitutes the refereed proceedings of the 8th International Conference on Pattern Recognition;

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Pattern Recognition and Machine Intelligence

The two-volume set of LNCS 11941 and 11942 constitutes the refereed proceedings of the 8th International Conference on Pattern Recognition;

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Advances in Visual Computing

-spatial applications and remote sensing Part II: object recognition/detection/categorization; 3D reconstruction; medical image analysis;

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Advances in Visual Computing

applications and remote sensing Part II: object recognition/detection/categorization; 3D reconstruction; medical image analysis; vision for;

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Object and Pattern Recognition in Remote Sensing

-oriented aspects and potential solutions to the topic of automated remote sensing data analysis. Thereby, both classical knowledge-based as well as;

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Kernel Methods for Remote Sensing Data Analysis

sensing data processing, and also those working within machine learning and pattern recognition.;

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Advances in Signal Processing

sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. The book is directed to the Ph.D;

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Advances in Signal Processing

sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. The book is directed to the Ph.D;

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Computer Vision in Advanced Control Systems-5

sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. It is intended for Ph.D. students;

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Computer Vision in Advanced Control Systems-5

sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. It is intended for Ph.D. students;

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Moments and Moment Invariants in Pattern Recognition

Invariants in Pattern Recognition is ideal for researchers and engineers involved in pattern recognition in medical imaging, remote sensing;

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Remote Sensing for Target Object Detection and Identification

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Pattern Recognition And Big Data

evolution and recent developments of various pattern recognition methodologies, ranging from statistical, linguistic, fuzzy-set-theoretic, neural;

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Computer Vision in Control Systems-6

sensing, data transmission, data fusion, gesture recognition, and edical image processing and analysis. The book is directed to the Ph.D;

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Computer Vision in Control Systems 6

sensing, data transmission, data fusion, gesture recognition, and edical image processing and analysis. The book is directed to the Ph.D;

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Scale Issues in Remote Sensing

Provides up-to-date developments in the field of remote sensing by assessing scale issues in land surface, properties, patterns, and;

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Environmental Remote Sensing and Systems Analysis

Remote sensing is the technique of gathering data and information about an object or phenomenon without making direct contact with the;

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Remote Sensing of Soil Salinization

into three sections, the book covers: Section I: Soil Salinity and Remote Sensing: The Object and the Tool - Focuses on the;

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Developments in Medical Image Processing and Computational Vision

, machine learning, modelling and simulation, object detection, object recognition, object tracking, optical flow, pattern recognition, pose;

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Pattern Recognition and Neural Networks

This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage;

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Fractal Geometry

of fractal geometry available for study and research in science and industry: i.e., remote sensing, mapping, texture creations, pattern recognition;

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Advances in Visual Computing

Learning II; Virtual Reality II; Object Recognition/Detection/Categorization; and Poster.;

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Image and Signal Processing

on features extraction, computer vision, and pattern recognition; multispectral and color imaging; image filtering, segmentation, and super;

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