The Perception Machine PDF Download
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| Author | : Baochang Zhang |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 152 |
| Release | : 2020-07-06 |
| Genre | : Computers |
| ISBN | : 3110595567 |
Download Machine Learning and Visual Perception Book in PDF, ePub and Kindle
The book provides an up-to-date on machine learning and visual perception, including decision tree, Bayesian learning, support vector machine, AdaBoost, object detection, compressive sensing, deep learning, and reinforcement learning. Both classic and novel algorithms are introduced. With abundant practical examples, it is an essential reference to students, lecturers, professionals, and any interested lay readers.
| Author | : Zbigniew Les |
| Publisher | : Springer |
| Total Pages | : 215 |
| Release | : 2019-08-01 |
| Genre | : Technology & Engineering |
| ISBN | : 3030240703 |
Download Machine Understanding Book in PDF, ePub and Kindle
This unique book discusses machine understanding (MU). This new branch of classic machine perception research focuses on perception that leads to understanding and is based on the categories of sensory objects. In this approach the visual and non-visual knowledge, in the form of visual and non-visual concepts, is used in the complex reasoning process that leads to understanding. The book presents selected new concepts, such as perceptual transformations, within the machine understanding framework, and uses perceptual transformations to solve perceptual problems (visual intelligence tests) during understanding, where understanding is regarded as an ability to solve complex visual problems described in the authors’ previous books. Thanks to the uniqueness of the research topics covered, the book appeals to researchers from a wide range of disciplines, especially computer science, cognitive science and philosophy.
| Author | : Joanna Zylinska |
| Publisher | : MIT Press |
| Total Pages | : 288 |
| Release | : 2023-11-07 |
| Genre | : Social Science |
| ISBN | : 0262546833 |
Download The Perception Machine Book in PDF, ePub and Kindle
A provocative investigation of the future of photography and human perception in the age of AI. We are constantly photographing and being photographed while feeding machine learning databases with our data, which in turn is used to generate new images. Analyzing the transformation of photography by computation—and the transformation of human perception by algorithmically driven images, from CGI to AI—The Perception Machine investigates what it means for us to live surrounded by image flows and machine eyes. In an astute and engaging argument, Joanna Zylinska brings together media theory and neuroscience in a Vilém Flusser–Paul Virilio remix. Her “perception machine” names a technical universe of images and their infrastructures. But it also refers to a sociopolitical condition resulting from today’s automation of vision, imaging—and imagination. Written by a theorist-practitioner, the book incorporates Zylinska’s own art projects, some of which have been co-created with AI. The photographs, collages, films, and installations available as part of the book (and its companion website) provide a different mode of thinking about our technological futures, at a local as well as a planetary level. Offering provocative concepts such as eco-eco-punk, AUTO-FOTO-KINO, planetary micro-vision, loser images, and sensography, the book outlines an existential philosophy of messy media for a time when our practices of imaging and self-imaging are being radically redesigned. Importantly, it also offers a new vision of our future.
| Author | : Harry Wechsler |
| Publisher | : Academic Press |
| Total Pages | : 384 |
| Release | : 2014-05-10 |
| Genre | : Computers |
| ISBN | : 1483262790 |
Download Neural Networks for Perception Book in PDF, ePub and Kindle
Neural Networks for Perception, Volume 2: Computation, Learning, and Architectures explores the computational and adaptation problems related to the use of neuronal systems, and the corresponding hardware architectures capable of implementing neural networks for perception and of coping with the complexity inherent in massively distributed computation. This book addresses both theoretical and practical issues related to the feasibility of both explaining human perception and implementing machine perception in terms of neural network models. The text is organized into two sections. The first section, computation and learning, discusses topics on learning visual behaviors, some of the elementary theory of the basic backpropagation neural network architecture, and computation and learning in the context of neural network capacity. The second section is on hardware architecture. The chapters included in this part of the book describe the architectures and possible applications of recent neurocomputing models. The Cohen-Grossberg model of associative memory, hybrid optical/digital architectures for neorocomputing, and electronic circuits for adaptive synapses are some of the subjects elucidated. Neuroscientists, computer scientists, engineers, and researchers in artificial intelligence will find the book useful.
| Author | : V. Cantoni |
| Publisher | : |
| Total Pages | : 352 |
| Release | : 1997 |
| Genre | : Artificial intelligence |
| ISBN | : |
Download Human and Machine Perception Book in PDF, ePub and Kindle
| Author | : Guido Tascini |
| Publisher | : World Scientific |
| Total Pages | : 218 |
| Release | : 1996-05-06 |
| Genre | : |
| ISBN | : 9814547921 |
Download Machine Learning And Perception Book in PDF, ePub and Kindle
As perception stands for the acquisition of a real world representation by interaction with an environment, learning is the modification of this internal representation.This book highlights the relation between perception and learning and describes the influence of the learning in the interaction with the environment.Besides, this volume contains a series of applications of both machine learning and perception, where the former is often embedded in the latter and vice-versa.Among the topics covered, there are visual perception for autonomous robots, model generation of visual patterns, attentional reasoning, genetic approaches and various categories of neural networks.
| Author | : Gokhan Tur |
| Publisher | : John Wiley & Sons |
| Total Pages | : 443 |
| Release | : 2011-05-03 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1119993946 |
Download Spoken Language Understanding Book in PDF, ePub and Kindle
Spoken language understanding (SLU) is an emerging field in between speech and language processing, investigating human/ machine and human/ human communication by leveraging technologies from signal processing, pattern recognition, machine learning and artificial intelligence. SLU systems are designed to extract the meaning from speech utterances and its applications are vast, from voice search in mobile devices to meeting summarization, attracting interest from both commercial and academic sectors. Both human/machine and human/human communications can benefit from the application of SLU, using differing tasks and approaches to better understand and utilize such communications. This book covers the state-of-the-art approaches for the most popular SLU tasks with chapters written by well-known researchers in the respective fields. Key features include: Presents a fully integrated view of the two distinct disciplines of speech processing and language processing for SLU tasks. Defines what is possible today for SLU as an enabling technology for enterprise (e.g., customer care centers or company meetings), and consumer (e.g., entertainment, mobile, car, robot, or smart environments) applications and outlines the key research areas. Provides a unique source of distilled information on methods for computer modeling of semantic information in human/machine and human/human conversations. This book can be successfully used for graduate courses in electronics engineering, computer science or computational linguistics. Moreover, technologists interested in processing spoken communications will find it a useful source of collated information of the topic drawn from the two distinct disciplines of speech processing and language processing under the new area of SLU.
| Author | : S Tanimoto |
| Publisher | : Elsevier |
| Total Pages | : 247 |
| Release | : 2014-08-05 |
| Genre | : Technology & Engineering |
| ISBN | : 0323159265 |
Download Structured Computer Vision Book in PDF, ePub and Kindle
Structured Computer Vision
| Author | : Sven J. Dickinson |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 505 |
| Release | : 2013-06-29 |
| Genre | : Computers |
| ISBN | : 144715195X |
Download Shape Perception in Human and Computer Vision Book in PDF, ePub and Kindle
This comprehensive and authoritative text/reference presents a unique, multidisciplinary perspective on Shape Perception in Human and Computer Vision. Rather than focusing purely on the state of the art, the book provides viewpoints from world-class researchers reflecting broadly on the issues that have shaped the field. Drawing upon many years of experience, each contributor discusses the trends followed and the progress made, in addition to identifying the major challenges that still lie ahead. Topics and features: examines each topic from a range of viewpoints, rather than promoting a specific paradigm; discusses topics on contours, shape hierarchies, shape grammars, shape priors, and 3D shape inference; reviews issues relating to surfaces, invariants, parts, multiple views, learning, simplicity, shape constancy and shape illusions; addresses concepts from the historically separate disciplines of computer vision and human vision using the same “language” and methods.
| Author | : Alexandros Iosifidis |
| Publisher | : Academic Press |
| Total Pages | : 638 |
| Release | : 2022-02-04 |
| Genre | : Computers |
| ISBN | : 0323885721 |
Download Deep Learning for Robot Perception and Cognition Book in PDF, ePub and Kindle
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. Presents deep learning principles and methodologies Explains the principles of applying end-to-end learning in robotics applications Presents how to design and train deep learning models Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more Uses robotic simulation environments for training deep learning models Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis
