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From the New York Times–bestselling author of Half Moon Bay. “Marriage is as mysterious as murder in LaPlante’s captivating psychological thriller” (People). An Indie Next Pick A LibraryReads Selection An Amazon Best Book of the Month (Mysteries & Thrillers) A Daily Candy Best Book of March One of More magazine’s “Five Thrillers Not to Read After Dark” When Dr. John Taylor turns up dead in a hotel room, the local police uncover enough incriminating evidence to suspect foul play. Det. Samantha Adams, whose Palo Alto beat usually covers petty crimes, is innocently thrown into a high-profile case that is more complicated than any she has faced before. A renowned reconstructive sur...
Marriage and crime don't mix After a newlywed's husband is arrested, she must choose between believing her heart or the mounting evidence her husband is a killer. She searches for the truth.
Follow Author Edmond Gagnon and a Group of Retired Seniors staying in a small Mexican Beach Town, while they try to find out what's happening to Missing and Murdered Tourists in their quiet little Piece of Paradise
Geographic data are used in all sectors of society to support a huge range of applications ranging from emergency response to land-use planning to location-based services. In the past, government agencies typically acquired ownership of such data from private-sector and other data producers and distributed these data without restriction. Licensing-whereby the producer may restrict redistribution-has emerged as an alternative business model that agencies must now consider among a suite of procurement options. The report highlights licensing perspectives and experiences of major stakeholder groups and examines the pros and cons of licensing. It concludes that licensing may be a viable option in some instances and advises agencies on how to best serve societal interests.
The three volume set LNCS 8834, LNCS 8835, and LNCS 8836 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2014, held in Kuching, Malaysia, in November 2014. The 231 full papers presented were carefully reviewed and selected from 375 submissions. The selected papers cover major topics of theoretical research, empirical study, and applications of neural information processing research. The 3 volumes represent topical sections containing articles on cognitive science, neural networks and learning systems, theory and design, applications, kernel and statistical methods, evolutionary computation and hybrid intelligent systems, signal and image processing, and special sessions intelligent systems for supporting decision, making processes, theories and applications, cognitive robotics, and learning systems for social network and web mining.
Document Processing and Retrieval: TEXPROS focuses on the design and implementation of a personal, customizable office information and document processing system called TEXPROS (a TEXt PROcessing System). TEXPROS is a personal, intelligent office information and document processing system for text-oriented documents. This system supports the storage, classification, categorization, retrieval and reproduction of documents, as well as extracting, browsing, retrieving and synthesizing information from a variety of documents. When using TEXPROS in a multi-user or distributed environment, it requires specific protocols for extracting, storing, transmitting and exchanging information. The authors ...
DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferated. Deep Learning for the Earth Sciences delivers a unique perspective and treatment of the concepts, skills, and practices necessary to quickly become familiar with the application of deep learning techniques to the Earth sciences. The book prepares...