Advances in Neural Information Processing Systems 15 PDF Download
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Author: Suzanna Becker
Publisher: MIT Press
ISBN: 9780262025508
Category : Neural circuitry
Languages : en
Pages : 1738
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Book Description
Proceedings of the 2002 Neural Information Processing Systems Conference.
Author: Suzanna Becker
Publisher: MIT Press
ISBN: 9780262025508
Category : Neural circuitry
Languages : en
Pages : 1738
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Book Description
Proceedings of the 2002 Neural Information Processing Systems Conference.
Author: Kathryn T. Spoehr
Publisher:
ISBN: 9780716713746
Category : Human information processing
Languages : en
Pages : 324
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Book Description
Author: Halimah Badioze Zaman
Publisher: Springer Nature
ISBN: 3030902358
Category : Computers
Languages : en
Pages : 732
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Book Description
This book constitutes the refereed proceedings of the 7th International Conference on Advances in Visual Informatics, IVIC 2021, held in Selangor, Malaysia in November 2021. The 59 papers presented were carefully reviewed and selected from 114 submissions. The papers are organized into the following topics: Visualization and Digital Innovation; Engineering and Digital Innovation; Cyber Security and Digital Innovation; and Energy Informatics and Digital Innovation.
Author:
Publisher: National Academies
ISBN:
Category : Brain
Languages : en
Pages : 74
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Book Description
Author: Curtis Ray Carlson
Publisher:
ISBN:
Category :
Languages : en
Pages : 100
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Book Description
Author: William G. Chase
Publisher: Academic Press
ISBN: 1483260879
Category : Psychology
Languages : en
Pages : 572
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Book Description
Visual Information Processing documents the Proceedings of the Eighth Annual Carnegie Symposium on Cognition, held at the Carnegie-Mellon University, Pittsburgh, Pennsylvania on May 19, 1972. This book compiles papers on the results from ongoing, programmatic research projects that aim to develop information processing models of cognition. The role of visual processes in cognition and language comprehension and explicit computer simulation of the memory-scanning task are discussed in detail. Other topics include the chronometrie studies of the rotation of mental images; function of visual imagery in elementary mathematics; and semantic prerequisites for comprehension. The production system for counting, subitizing, and adding; visual processes in linguistic comprehension; and models of control structures are also deliberated. This publication is a good source for students and researchers interested in images.
Author: David Marr
Publisher: MIT Press
ISBN: 0262514621
Category : Psychology
Languages : en
Pages : 429
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Book Description
Available again, an influential book that offers a framework for understanding visual perception and considers fundamental questions about the brain and its functions. David Marr's posthumously published Vision (1982) influenced a generation of brain and cognitive scientists, inspiring many to enter the field. In Vision, Marr describes a general framework for understanding visual perception and touches on broader questions about how the brain and its functions can be studied and understood. Researchers from a range of brain and cognitive sciences have long valued Marr's creativity, intellectual power, and ability to integrate insights and data from neuroscience, psychology, and computation. This MIT Press edition makes Marr's influential work available to a new generation of students and scientists. In Marr's framework, the process of vision constructs a set of representations, starting from a description of the input image and culminating with a description of three-dimensional objects in the surrounding environment. A central theme, and one that has had far-reaching influence in both neuroscience and cognitive science, is the notion of different levels of analysis—in Marr's framework, the computational level, the algorithmic level, and the hardware implementation level. Now, thirty years later, the main problems that occupied Marr remain fundamental open problems in the study of perception. Vision provides inspiration for the continuing efforts to integrate knowledge from cognition and computation to understand vision and the brain.
Author: Thomas Heinen
Publisher: Nova Science Publishers
ISBN: 9781634824552
Category : Visual perception
Languages : en
Pages : 0
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Book Description
This book provides a state-of-the-art discussion forum for topics that are of high interest in the field of visual perception research. Experts from different countries and different scientific disciplines, such as medicine, psychology, neuroscience, sport and movement science, provide a number of significant contributions, covering recent theoretical developments, innovative methodical developments, current research evidence, as well as implications for practical applications in the field of visual perception. Topics discussed in the book include the role of importance in visual perception, accuracy and bias in emotion perception, automated vector-based gaze analysis, visual-vestibular interactions when performing complex skills, variability of fixation durations in healthy participants, gaze behaviour in subjects with attention deficit hyperactivity disorder, perception of moving objects in real life, controlling posture in differing perceptual information situations, orientation matching in perceptual space, error correction on the basis of visual information in sports, visual perceptual learning in cytopathology, visuomotor behaviour in virtual reality situations, role of augmented visual feedback in motor learning, informational domains in integrating information from different sensory sources, and the role of visual inputs in sensorimotor integration. Given the wide range of topics and scientific disciplines, this book may be an important source of information for graduate students, researchers and practitioners that study and work in the field of visual perception.
Author: Lawrence K. Saul
Publisher: MIT Press
ISBN: 9780262195348
Category : Computational intelligence
Languages : en
Pages : 1710
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Book Description
Papers presented at NIPS, the flagship meeting on neural computation, held in December 2004 in Vancouver.The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation. It draws a diverse group of attendees--physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging, vision, speech and signal processing, reinforcement learning and control, emerging technologies, and applications. Only twenty-five percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains the papers presented at the December, 2004 conference, held in Vancouver.
Author: Bogdan Ionescu
Publisher: Springer Nature
ISBN: 3030814653
Category : Computers
Languages : en
Pages : 297
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Book Description
Recent years have witnessed important advancements in our understanding of the psychological underpinnings of subjective properties of visual information, such as aesthetics, memorability, or induced emotions. Concurrently, computational models of objective visual properties such as semantic labelling and geometric relationships have made significant breakthroughs using the latest achievements in machine learning and large-scale data collection. There has also been limited but important work exploiting these breakthroughs to improve computational modelling of subjective visual properties. The time is ripe to explore how advances in both of these fields of study can be mutually enriching and lead to further progress. This book combines perspectives from psychology and machine learning to showcase a new, unified understanding of how images and videos influence high-level visual perception - particularly interestingness, affective values and emotions, aesthetic values, memorability, novelty, complexity, visual composition and stylistic attributes, and creativity. These human-based metrics are interesting for a very broad range of current applications, ranging from content retrieval and search, storytelling, to targeted advertising, education and learning, and content filtering. Work already exists in the literature that studies the psychological aspects of these notions or investigates potential correlations between two or more of these human concepts. Attempts at building computational models capable of predicting such notions can also be found, using state-of-the-art machine learning techniques. Nevertheless their performance proves that there is still room for improvement, as the tasks are by nature highly challenging and multifaceted, requiring thought on both the psychological implications of the human concepts, as well as their translation to machines.
