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This book focuses on recent research in modern optimization and its implications in control and data analysis.
This book presents practical optimization techniques used in image processing and computer vision problems.
This book takes its reader on a journey through Apache Giraph, a popular distributed graph processing platform designed to bring the power of big data processing to graph data.
This book provides a general overview of multiple instance learning (MIL), defining the framework and covering the central paradigms.
This new edition adds content on RFIDs, embedded security, attacks and countermeasures, security evaluation, javacards, banking or payment cards, identity cards and passports, mobile systems security, and security management.
This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions.
This treatise presents an integrated perspective on the interplay of set theory and graph theory, providing an extensive selection of examples that highlight how methods from one theory can be used to better solve problems originated in the other.
Recent results on non-convex multi-objective optimization problems and methods are presented in this book, with particular attention to expensive black-box objective functions.