Unmatchable

From USA Today bestselling author Sky Corgan comes a sexy new billionaire romance. I've spent my entire adult life avoiding dating, which is funny because I work for a matchmaking service. My boss calls me "The Beast" because of my no B.S. attitude. My job is to scare away problem clients—the unmatchables. In waltzes Mister Alfred Barnes. He's stuck up, brazen, and mouthwateringly gorgeous. Guys like him think they own the world, but in here I'm in charge. Kicking him out of my office is one of my greatest pleasures...until I find out that he totally lied about his identity. Someone is going to get fired over this, and it might be me. Now Mister Barnes is after me. After me in the most unexpected of ways. I've never dealt with anyone like him before, and years of therapy tell me that he's exactly not what I need. What does my therapist know, though? She has her own secrets, and I'm beginning to think that everyone is out to destroy me. I'm beginning to think that I'm the one who is unmatchable.

The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.

This open access book systematically investigates the topic of entity alignment, which aims to detect equivalent entities that are located in different knowledge graphs. Entity alignment represents an essential step in enhancing the quality of knowledge graphs, and hence is of significance to downstream applications, e.g., question answering and recommender systems. Recent years have witnessed a rapid increase in the number of entity alignment frameworks, while the relationships among them remain unclear. This book aims to fill that gap by elaborating the concept and categorization of entity alignment, reviewing recent advances in entity alignment approaches, and introducing novel scenarios and corresponding solutions. Specifically, the book includes comprehensive evaluations and detailed analyses of state-of-the-art entity alignment approaches and strives to provide a clear picture of the strengths and weaknesses of the currently available solutions, so as to inspire follow-up research. In addition, it identifies novel entity alignment scenarios and explores the issues of large-scale data, long-tail knowledge, scarce supervision signals, lack of labelled data, and multimodal knowledge, offering potential directions for future research. The book offers a valuable reference guide for junior researchers, covering the latest advances in entity alignment, and a valuable asset for senior researchers, sharing novel entity alignment scenarios and their solutions. Accordingly, it will appeal to a broad audience in the fields of knowledge bases, database management, artificial intelligence and big data.

Boolean circuit complexity is the combinatorics of computer science and involves many intriguing problems that are easy to state and explain, even for the layman. This book is a comprehensive description of basic lower bound arguments, covering many of the gems of this “complexity Waterloo” that have been discovered over the past several decades, right up to results from the last year or two. Many open problems, marked as Research Problems, are mentioned along the way. The problems are mainly of combinatorial flavor but their solutions could have great consequences in circuit complexity and computer science. The book will be of interest to graduate students and researchers in the fields of computer science and discrete mathematics.

This book constitutes the thoroughly refereed joint post-proceedings of three consecutive International Workshops on Learning Classifier Systems that took place in Chicago, IL in July 2003, in Seattle, WA in June 2004, and in Washington, DC in June 2005. Topics in the 22 revised full papers range from theoretical analysis of mechanisms to practical consideration for successful application of such techniques to everyday datamining tasks.

A dominant epistemological assumption behind Western philosophy is that it is possible to locate some form of commonality between languages, traditions, or cultures - such as a common language or lexicon, or a common notion of rationality - which makes full linguistic communication between them always attainable. Xinli Wang argues that the thesis of incommensurability challenges this assumption by exploring why and how linguistic communication between two conceptually disparate languages, traditions, or cultures is often problematic and even unattainable. According to Wang's presuppositional interpretation of incommensurability, the real secret of incommensurability lies in the ontological set-ups of two competing presuppositional languages. This book provides many original contributions to the discussion of incommensurability and related issues in philosophy and offers valuable insights to scholars in other fields, such as anthropology, communication, linguistics, scientific education, and cultural studies.