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Machine Learning and Visual Perception
Machine Learning and Visual Perception provides an up-to-date overview on the topic, including the PAC model, decision tree, Bayesian learning, support vector machines, AdaBoost, compressive sensing and so on.Both classic and novel algorithms are introduced in classifier design, face recognition, deep learning, time series recognition, image classification, and object detection.
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The Phenomenology of Virtual Technology : Perception and Imagination in a Digital Age
The digital age we now live in is fundamentally changing how we relate to our perceptions and images.Daniel O'Shiel provides the first comprehensive phenomenology of virtual technology in order to show how the previously well-established experiential lines and structures between three basic categories of phenomenal experience – our everyday perceptions of reality; our everyday fantasies of irreality; and our everyday engagements with external images, not least digital ones – are becoming blurred, inverted or are even collapsing in a new era where a specific type of virtuality is coming to the fore.O’Shiel examines in depth just what this means for the phenomenology behind it, as well as the concrete practical consequences going forward. The work is divided into two main parts. In the first O’Shiel fully investigates the phenomenological natures of perception and imagination through close textual analyses of the relevant works by Edmund Husserl, Eugen Fink and Jean-Paul Sartre.In each phenomenologist perception and imagination are ultimately seen as different in kind, although the dividing line differs, especially with reference to a middle category of ‘image-consciousness’ (Bildbewusstsein).This first part argues for basic phenomenological differences between perceptions; physical and external images; and more mental imagery, while also allowing for a more general gradation between them.The second part then applies these theoretical findings to some of the most influential ‘virtual technologies’ today – social media; online gaming; and some virtual, augmented and mixed reality technologies – in order to show how previously clear categories of real and irreal, present and absent, genuine and fake, and even true and false, are becoming less so.
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Perception
Perception is one of the most pervasive and puzzling problems in philosophy, generating a great deal of attention and controversy in philosophy of mind, psychology and metaphysics.If perceptual illusion and hallucination are possible, how can perception be what it intuitively seems to be, a direct and immediate access to reality?How can perception be both internally dependent and externally directed?Perception is an outstanding introduction to this fundamental topic, covering both the perennial and recent work on the problem.Adam Pautz examines four of the most important theories of perception: the sense datum view; the internal physical state view; the representational view; and naïve realism, assessing each in turn.He also discusses the relationship between perception and the physical world and the issue of whether reality is as it appears. Useful examples are included throughout the book to illustrate the puzzles of perception, including hallucinations, illusions, the laws of appearance, blindsight, and neuroscientific explanations of our experience of pain, smell and color.The book covers both traditional philosophical arguments and more recent empirical arguments deriving from research in psychophysics and neuroscience.The addition of chapter summaries, suggestions for further reading and a glossary of terms make Perception essential reading for anyone studying the topic in detail, as well as for students of philosophy of mind, philosophy of psychology and metaphysics.
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Deep Learning for Robot Perception and Cognition
Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies.The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view.The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks.
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Face Perception
Human faces are unique biological structures that convey a complex variety of important social messages.Even strangers can tell things from our faces – our feelings, our locus of attention, something of what we are saying, our age, sex, and ethnic group, whether they find us attractive or approachable. Face Perception, second edition, has been thoroughly updated throughout, providing an up-to-date, integrative summary by two authors who have helped to develop and shape the field.The book begins with the foundations of face perception before considering what is known about how we see different things in faces.It concludes with a discussion of how face perception relates to wider questions involving interpersonal perception and re-examines the question of what makes faces ‘special’.The importance of integrating different research perspectives and asking critical theoretical questions is emphasised throughout, to develop a distinctive point of view of the area.Written in a clear and accessible style, this is invaluable reading for all students and researchers interested in studying face perception and social cognition.
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Human Perception
It takes little or no effort for us to gather information by means of our senses but it would be a mistake to take this as a sign that perception is simple.It was in the 20th century and after the establishment of psychology as a scientific discipline that the study of perception flourished.This important volume gathers together a selection of articles and essays which represent some of the most interesting discoveries and theories.It gives a flavour of the many different approaches and ideas taken by cognitive psychologists in this fascinating area.Topics covered include: attention, brain systems, object interpolation and completion, object recognition and classification, different types of objects, and information processing and models.
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The Senses of Modernism : Technology, Perception, and Aesthetics
In The Senses of Modernism, Sara Danius develops a radically new theoretical and historical understanding of high modernism.The author closely analyzes Thomas Mann's The Magic Mountain, Marcel Proust's Remembrance of Things Past, and James Joyce's Ulysses as narratives of the sweeping changes that affected high and low culture in the age of technological reproduction.In her discussion of the years from 1880 to 1930, Danius proposes that the high-modernist aesthetic is inseparable from a technologically mediated crisis of the senses.She reveals the ways in which categories of perceiving and knowing are realigned when technological devices are capable of reproducing sense data.Sparked by innovations such as chronophotography, phonography, radiography, cinematography, and technologies of speed, this sudden shift in perceptual abilities had an effect on all arts of the time.Danius explores how perception, notably sight and hearing, is staged in the three most significant modern novels in German, French, and British literature.The Senses of Modernism connects technological change and formal innovation to transform the study of modernist aesthetics.Danius questions the longstanding acceptance of a binary relationship between high and low culture and describes the complicated relationship between modernism and technology, challenging the conceptual divide between a technological culture and a more properly aesthetic one.
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Levels of Perception
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