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Study Of Foreground Image Segmentation using Support Vector Machines

This book gives a detailed investigation of a supervised image segmentation task using Support Vector Machine (SVM). Support vector machine;

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Support Vector Machines

This book presents topical research in the study of support vector machines. Topics discussed include the support vector machine in medical;

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Support Vector Machines and Their Application in Chemistry and Biotechnology

Support vector machines (SVMs) are used in a range of applications, including drug design, food quality control, metabolic fingerprint;

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Support Vector Machines and Their Application in Chemistry and Biotechnology

Support vector machines (SVMs) are used in a range of applications, including drug design, food quality control, metabolic fingerprint;

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Computational Intelligence in Medical Imaging

, rough sets, support vector machines, tabu search, fuzzy logic, a Bayesian probabilistic framework, a statistical parts-based appearance model, a;

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Computational Intelligence in Medical Imaging

, rough sets, support vector machines, tabu search, fuzzy logic, a Bayesian probabilistic framework, a statistical parts-based appearance model, a;

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Regularization, Optimization, Kernels, and Support Vector Machines

Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine;

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Regularization, Optimization, Kernels, and Support Vector Machines

Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine;

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Knowledge Discovery with Support Vector Machines

An easy-to-follow introduction to support vector machines This book provides an in-depth, easy-to-follow introduction to support vector;

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Neurocomputing

In this book, the authors present topical research in the study of the architectures and modelling in neurocomputing. Topics discussed;

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Towards Image Understanding

applied for image segmentation. To understand the strengths and limitations of different DCMs, a comparative study to review eight major snakes;

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Text Segmentation and Recognition for Enhanced Image Spam Detection

). Third, extracted text features are classified using improvised K-Nearest Neighbor search (KNN) and Support Vector Machine (SVM). Fourth, the;

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Text Segmentation and Recognition for Enhanced Image Spam Detection

). Third, extracted text features are classified using improvised K-Nearest Neighbor search (KNN) and Support Vector Machine (SVM). Fourth, the;

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Twin Support Vector Machines

This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments;

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Twin Support Vector Machines

This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments;

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Support Vector Machines

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components;

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Metaheuristic Algorithms for Image Segmentation

This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic;

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Metaheuristic Algorithms for Image Segmentation

This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic;

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Bioelectronics and Medical Devices

of concepts and technologies, discussing such modern technological methods as the Internet of Things, e-pills, biomedical sensors, support vector;

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Introduction Support Vector Machines

This is the first comprehensive introduction to Support Vector Machines (SVMs), a generation learning system based on recent advances;

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Sequence Classification Using Support Vector Machines

explained. After that an introduction in classification tasks, machine learning and support vector machines will be given and the so called Motif;

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Machine Learning and Visual Perception

learning, support vector machines, AdaBoost, compressive sensing and so on.Both classic and novel algorithms are introduced in classifier design;

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Learning with Support Vector Machines

Support Vectors Machines have become a well established tool within machine learning. They work well in practice and have now been used;

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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM;

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Computer Vision Projects with OpenCV and Python 3

and its associated libraries. What you will learn Install and run major Computer Vision packages within Python Apply powerful support vector;

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Multispectral Image Analysis Using the Object-Oriented Paradigm

pixel-based classification. It examines the creation of object primitives using image segmentation approaches and the use of various techniques;

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Multispectral Image Analysis Using the Object-Oriented Paradigm

pixel-based classification. It examines the creation of object primitives using image segmentation approaches and the use of various techniques;

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