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Geometric Constraints for Object Detection and Delineation

. Geometric Constraints for Object Detection and Delineation addresses these problems with a suite of novel methods and techniques for detecting and;

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Riemannian Computing in Computer Vision

Riemannian geometric approaches in problems such as face recognition, activity recognition, object detection, biomedical image analysis, and;

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Riemannian Computing in Computer Vision

Riemannian geometric approaches in problems such as face recognition, activity recognition, object detection, biomedical image analysis, and;

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Moving Objects Detection Using Machine Learning

algorithm is able to detect and track 2D & 3D objects in monocular sequences for both indoor and outdoor surveillance environments and at the same;

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Remote Sensing for Target Object Detection and Identification

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Groundwater Geophysics

Edited by Reinhard Kirsch, this book demonstrates the use of geophysics for the detection and delineation of groundwater resources. As well;

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Geometric Constraint Solving and Applications

Geometric constraint programming increases flexibility in CAD design specifications and leads to new conceptual design paradigms.This;

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In-Situ PCR Techniques

This book describes comprehensive step-by-step protocols for the delineation of genetic amplification and histological detection techniques;

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Moving Object Tracking in Video Sequences

techniques deliberated and implemented in this book are Template Matching, Fast Mean Shift and Kalman Filter where as for object detection background;

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Data Mining from Multimedia and Human Behavioral Data

Object recognitiondetection has always been a challenging topic for both computer scientists and psychologists. We study the categorical;

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Deep Learning for Computer Vision

build deep learning models for object detection, image classification, similarity learning, image captioning, and more Includes tips on;

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Machine Learning Methods for Visual Object Detection

Sparsification) and learning methods (Latent and Non-Latent Support Vector Machines) for the problem of object detection. These methods are presented;

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Hierarchical approach for object detection using shape descriptors

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Subsurface Sensing

This book provides readers with a solid understanding of the capabilities and limitations of the techniques used for buried object;

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Visual Perception and Control of Underwater Robots

. Within the framework of visual perception for underwater operations, image restoration, binocular measurement, and object detection are addressed;

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Visual Perception and Control of Underwater Robots

. Within the framework of visual perception for underwater operations, image restoration, binocular measurement, and object detection are addressed;

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Graphs for Pattern Recognition

solutions act as building blocks of geometric decision rules for pattern recognition. Infeasible systems of linear inequalities prove to be a key;

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New Developments in Unsupervised Outlier Detection

in particular; and the applications of the latest findings to boundary point detection and novel object detection. The book also offers a new;

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3D Navigation Protocol & Object Detection NN for a Vision Disability

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Fundamentals of Object Databases

, provide inherent support for object features, such as object identity, classes, inheritance hierarchies, and associations between classes using;

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Multiuser Detection for Turbo-Coded DS/CDMA

Multiuser detection (MUD) and turbo coding are two of the most powerful techniques for enhancing the direct spread code-division multiple;

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Geometric and Topological Inference

Geometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly;

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Geometric and Topological Inference

Geometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly;

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Theory of Dimensioning

various dimensioning challenges and provides valuable methods for parameterizing geometric models. This valuable reference discusses how;

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Advances in Fault Detection and Diagnosis Using Filtering Analysis

have been addressed, with more weight placed on engineering practice. Some typical application cases are studied for fault detection and;

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Geometric Measure Theory and Free Boundary Problems

boundary problems and water waves. It is based on lectures given at the 2019 CIME summer school Geometric Measure Theory and Applications - From;

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Constraint-Based Techniques to Support Electronic TV Network Design

When dealing with engineering design, a professional has to consider both engineering and geometric constraints. Engineering constraints;

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