Hierarchical Perceptual Grouping for Object Recognition, Eckart Michaelsen; Jochen Meidow
Автор: Leinster Название: Basic Category Theory ISBN: 1107044243 ISBN-13(EAN): 9781107044241 Издательство: Cambridge Academ Рейтинг: Цена: 8237.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Assuming little mathematical background, this short introduction to category theory is ideal for beginning graduate students or advanced undergraduates learning category theory for the first time. Suitable for independent study or as a course book, it gives extensive explanations of the key concepts along with hundreds of examples and exercises.
Автор: Otakar Bor?vka Название: Foundation of the Theory of Groupoids and Groups ISBN: 3034840497 ISBN-13(EAN): 9783034840491 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Ibort Название: Groupoids, Groups & Their Represent ISBN: 1138035866 ISBN-13(EAN): 9781138035867 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides an elementary introduction to the theory of groupoids and their representations, encompassing the standard theory of groups with plenty of examples and applications ranging from combinatorics to the topology of graphs.
Описание: Originally published in 1981, this volume brings together contributions by several of the authors whose research had contributed significantly to the recent advances in our understanding of the role of cognitive processes in stereotyping and intergroup behaviour at the time.
Автор: Murray Название: Motivated Cognition in Relationships ISBN: 1848715196 ISBN-13(EAN): 9781848715196 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: How can newlyweds believe they will be together forever, while knowing that the majority of marriages end in divorce? Why do people who desperately want to be loved end up alienating those who love them? How can partners that seem like complete opposites end up blissfully happy? This volume explores such fascinating questions. Murray and Holmes outline how basic motivations to be safe from being hurt and find value and meaning control how people feel, think, and behave in close relationships. Additionally, the authors highlight how these motivations infuse romantic life through succinct and accessible descriptions of cutting-edge empirical research and vivid evolving stories of four couples confronting different challenges in their relationship. Integrating ideas from the interdependence, goals, and embodiment literatures, this book puts a provocative new spin on seminal findings from two decades of collaborative research. The book: provides a new, interdependence-based, perspective on motivated cognition in close relationships; advances a dyadic perspective that explores how motivation shapes perception and cognition in ways that result in motivation-consistent behavior; examines how "goal-driven" cognition translates a person’s wishes, desires, and preferences into judgement and behavior, and ultimately, his or her romantic partner’s relationship reality; offers a refreshing argument that the ultimate effects of motivated cognition on satisfaction and stability depend on whether the motivations which most frequently guide perception and cognition match the reality constraints imposed by the perceiver, the partner, and the characteristics of the relationship. This book is essential for social and personality psychologists and will also be valuable to clinical psychologists and clinicians who work directly with couples to effect more happy and stable relationships. Advanced undergraduate and graduate students will find it a highly engaging compendium for understanding how motivation shapes affect, cognition, and behavior in close relationships.
Описание: When spatial data is digitized for use in geographic information systems and other software, information about its original scale, resolution and accuracy is frequently lost.
Автор: Tileag Название: The Nature of Prejudice ISBN: 1138048887 ISBN-13(EAN): 9781138048881 Издательство: Taylor&Francis Рейтинг: Цена: 6736.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a critical synthesis of social psychology`s contribution to the study of contemporary racism, with a special emphasis on aspects that have been relatively neglected.
Описание: Originally published in 1981, this volume brings together contributions by several of the authors whose research had contributed significantly to the recent advances in our understanding of the role of cognitive processes in stereotyping and intergroup behaviour at the time.
Описание: This book shows how the ADE Coxeter graphs unify at least 20 different types of mathematical structures. These mathematical structures are of great utility in unified field theory, string theory, and other areas of physics.
Описание: This book presents the latest research on hierarchical deep learning for multi-modal sentiment analysis. Further, it analyses sentiments in Twitter blogs from both textual and visual content using hierarchical deep learning networks: hierarchical gated feedback recurrent neural networks (HGFRNNs). Several studies on deep learning have been conducted to date, but most of the current methods focus on either only textual content, or only visual content. In contrast, the proposed sentiment analysis model can be applied to any social blog dataset, making the book highly beneficial for postgraduate students and researchers in deep learning and sentiment analysis. The mathematical abstraction of the sentiment analysis model is presented in a very lucid manner. The complete sentiments are analysed by combining text and visual prediction results. The book’s novelty lies in its development of innovative hierarchical recurrent neural networks for analysing sentiments; stacking of multiple recurrent layers by controlling the signal flow from upper recurrent layers to lower layers through a global gating unit; evaluation of HGFRNNs with different types of recurrent units; and adaptive assignment of HGFRNN layers to different timescales. Considering the need to leverage large-scale social multimedia content for sentiment analysis, both state-of-the-art visual and textual sentiment analysis techniques are used for joint visual-textual sentiment analysis. The proposed method yields promising results from Twitter datasets that include both texts and images, which support the theoretical hypothesis.
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