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examines the effective features that characterize static hand poses and introduces a unified framework to enforce both temporal and spatial... Læs mere
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This book presents the features and advantages offered by complex networks in the machine learning domain. The low level term can be implemented by any... Læs mere
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This book is designed for data scientists and machine learning engineers who are keen to dive deep into the complexities of deep learning.
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Readers will explore quantum kernel methods, quantum neural networks, and quantum Transformers, gaining insight into their theoretical foundations, performance advantages, and practical implementations.
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In a global landscape shaped by technology, artificial intelligence (AI) is emerging as a disruptive force, redefining the very essence of governance. This... Læs mere
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This unique volume reviews the latest advances in domain adaptation in the training of machine learning algorithms for visual understanding, offering valuable insights from an international selection of experts in the field.
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This thesis represents one of the most comprehensive and in-depth studies of the use of Lorentz-boosted hadronic final state systems in the search for signals of Supersymmetry conducted to date at the Large Hadron Collider.
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This book describes the recent innovation of deep in-memory architectures for realizing AI systems that operate at the edge of energy-latency-accuracy trade-offs.
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