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This book introduces readers with a background in linear algebra to a robust new framework for developing control algorithms. Rather than making probabilistic assumptions... Læs mere
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mso-fareast-language: EN-IN;">The first of the two volumes, the book highlights the multidisciplinary nature of data science in the fields of computer science, statistics, physics and economics.
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This book stands at the intersection of computer vision, artificial intelligence, and human kinematics, offering a comprehensive... Læs mere
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This book provides a systematic review of gait-based person identification, categorizing studies into deep-learning and non-deep-learning approaches while analyzing key datasets and performance metrics.
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This textbook is a consolidation of learning methods which comes in an analytic form. The covered learning methods include classical and advanced... Læs mere
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The book offers a comprehensive survey of interval-valued intuitionistic fuzzy sets.
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This book shows how different types of motion can be disambiguated into their components in a richer way than that currently possible in computer... Læs mere
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This book provides a comprehensive overview of the fine-grained image analysis research and modern approaches based on deep learning, spanning the full range of topics needed for designing operational fine-grained image systems.
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This book revises and expands upon the prior edition of Multi-Modal Face Presentation Attack Detection. The authors also discuss the reasons that cause face anti-spoofing to be essential for preventing security breaches in face recognition systems.
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This book presents the first unified formalization for defining novelty across the span of machine learning, symbolic-reasoning, and control and planning-based systems.