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This book illustrates how to achieve effective dimension reduction and data clustering. The authors explain how to accomplish this by utilizing the advanced dynamic graph learning technique in the era of big data. The book begins by providing background on dynamic graph learning. The authors discuss why it has attracted considerable research attention in recent years and has become well recognized as an advanced technique. After covering the key topics related to dynamic graph learning, the book discusses the recent advancements in the area. The authors then explain how these techniques can be practically applied for several purposes, including feature selection, feature projection, and data clustering.
This book systemically presents key concepts of multi-modal hashing technology, recent advances on large-scale efficient multimedia search and recommendation, and recent achievements in multimedia indexing technology. With the explosive growth of multimedia contents, multimedia retrieval is currently facing unprecedented challenges in both storage cost and retrieval speed. The multi-modal hashing technique can project high-dimensional data into compact binary hash codes. With it, the most time-consuming semantic similarity computation during the multimedia retrieval process can be significantly accelerated with fast Hamming distance computation, and meanwhile the storage cost can be reduced greatly by the binary embedding. The authors introduce the categorization of existing multi-modal hashing methods according to various metrics and datasets. The authors also collect recent multi-modal hashing techniques and describe the motivation, objective formulations, and optimization steps for context-aware hashing methods based on the tag-semantics transfer.
This book provides a comprehensive examination of the interaction between Services of General Economic Interest (SGEI) and EU competition law, covering in particular Article 106 of the Treaty on the Functioning of the European Union (TFEU) and state aid rules. It also takes the telecommunications, postal service and transport sectors as case studies, taking into account the technological, economic and political backgrounds to these sectors.The area of SGEI has undergone fundamental developments over the past three decades and the most recent changes in the Lisbon Treaty, recognizing SGEI as a shared value and granting explicit competence to the EU, mark its constitutional significance. The key issue is how to balance economic values underlying competitive markets and non-economic public service values such as universal access to essential services. The essence of the question is the relationship between the market and the state. This controversial issue is addressed through a critical analysis of a number of landmark EU Court judgments and Commission decisions over the decades.Offering a clear appreciation of the evolution of the EU regulatory framework on SGEI that lays out the limits and boundaries within which the Member States define, organize and fund SGEI, the book is particularly aimed at academics with a research interest in the interaction between public services and EU competition law, but as it also demonstrates clearly how the application of EU competition law has transformed the public utilities sectors, it will be of interest to law makers, legal professionals and policy makers as well.Dr. Lei Zhu is a Research Associate at the Institute of International Law at Wuhan University in Wuhan, China. He studied at the Institute for Competition & Procurement Studies of the Bangor University Law School in Wales, United Kingdom, where he obtained his PhD in law in 2015.
This book will appeal to scientists and engineers who are concerned with the design of microwave wideband devices and systems. For advanced (ultra)-wideband wireless systems, the necessity and design methodology of wideband filters will be discussed with reference to the inherent limitation in fractional bandwidth of classical bandpass filters.
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