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
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Цена: 54910.00 T
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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
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Цена: 79190.00 T
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Название: Cognitive Processes in Stereotyping and Intergroup Behavior
ISBN: 1138950351 ISBN-13(EAN): 9781138950351
Издательство: Taylor&Francis
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Цена: 53070.00 T
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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: Ibort
Название: Groupoids, Groups & Their Represent
ISBN: 1138035866 ISBN-13(EAN): 9781138035867
Издательство: Taylor&Francis
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Цена: 132710.00 T
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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.

Автор: Sirag Saul-Paul
Название: Adex Theory: How The Ade Coxeter Graphs Unify Mathematics And Physics
ISBN: 9814656496 ISBN-13(EAN): 9789814656498
Издательство: World Scientific Publishing
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Цена: 100320.00 T
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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.

Автор: Murray
Название: Motivated Cognition in Relationships
ISBN: 1848715196 ISBN-13(EAN): 9781848715196
Издательство: Taylor&Francis
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Цена: 163330.00 T
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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.

Автор: Jens Spehr
Название: On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities
ISBN: 3319358626 ISBN-13(EAN): 9783319358628
Издательство: Springer
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Цена: 95770.00 T
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Описание: In many computer vision applications, objects have to be learned and recognized in images or image sequences.

Название: Cognitive Processes in Stereotyping and Intergroup Behavior
ISBN: 1138950327 ISBN-13(EAN): 9781138950320
Издательство: Taylor&Francis
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Цена: 183750.00 T
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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: Geoffrey H. Dutton
Название: A Hierarchical Coordinate System for Geoprocessing and Cartography
ISBN: 3540649808 ISBN-13(EAN): 9783540649809
Издательство: Springer
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Цена: 74530.00 T
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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: Arindam Chaudhuri
Название: Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks
ISBN: 9811374732 ISBN-13(EAN): 9789811374739
Издательство: Springer
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Цена: 46570.00 T
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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.

Автор: Vladimir K. Dobrev
Название: Noncompact Semisimple Lie Algebras and Groups
ISBN: 311043542X ISBN-13(EAN): 9783110435429
Издательство: Walter de Gruyter
Цена: 161100.00 T
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Описание: With applications in quantum field theory, elementary particle physics and general relativity, this two-volume work studies invariance of differential operators under Lie algebras, quantum groups, superalgebras including infinite-dimensional cases, Schrodinger algebras, applications to holography. This first volume covers the general aspects of Lie algebras and group theory supplemented by many concrete examples for a great variety of noncompact semisimple Lie algebras and groups. Contents:IntroductionLie Algebras and GroupsReal Semisimple Lie AlgebrasInvariant Differential OperatorsCase of the Anti-de Sitter GroupConformal Case in 4DKazhdan–Lusztig Polynomials, Subsingular Vectors, and Conditionally Invariant EquationsInvariant Differential Operators for Noncompact Lie Algebras Parabolically Related to Conformal Lie AlgebrasMultilinear Invariant Differential Operators from New Generalized Verma ModulesBibliographyAuthor IndexSubject Index

Автор: Jacques Peyri?re
Название: An Introduction to Singular Integrals
ISBN: 1611975417 ISBN-13(EAN): 9781611975413
Издательство: Mare Nostrum (Eurospan)
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Цена: 53090.00 T
Наличие на складе: Невозможна поставка.
Описание: In just over 100 pages, this book provides basic, essential knowledge of some of the tools of real analysis: the Hardy–Littlewood maximal operator, the Calder?n–Zygmund theory, the Littlewood–Paley theory, interpolation of spaces and operators, and the basics of H1 and BMO spaces. This concise text offers brief proofs and exercises of various difficulties designed to challenge and engage students. An Introduction to Singular Integrals is meant to give first-year graduate students in Fourier analysis and partial differential equations an introduction to harmonic analysis. While some background material is included in the appendices, readers should have a basic knowledge of functional analysis, some acquaintance with measure and integration theory, and familiarity with the Fourier transform in Euclidean spaces.