[PDF] Perception And Machine Intelligence eBook

Author : Malay K. Kundu
Publisher : Springer
Page : 394 pages
File Size : 45,4 MB
Release : 2012-01-12
Category : Computers
ISBN : 3642273874

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This book constitutes the proceedings of the First Indo-Japanese conference on Perception and Machine Intelligence, PerMIn 2012, held in Kolkata, India, in January 2012. The 41 papers, presented together with 1 keynote paper and 3 plenary papers, were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections named perception; human-computer interaction; e-nose and e-tongue; machine intelligence and application; image and video processing; and speech and signal processing.

Author : Baochang Zhang
Publisher : Walter de Gruyter GmbH & Co KG
Page : 152 pages
File Size : 17,33 MB
Release : 2020-07-06
Category : Computers
ISBN : 3110595567

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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 : Guido Tascini
Publisher : World Scientific
Page : 218 pages
File Size : 50,67 MB
Release : 1996-05-06
Category :
ISBN : 9814547921

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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 : Bruno Apolloni
Publisher : Springer Science & Business Media
Page : 370 pages
File Size : 35,88 MB
Release : 2005-09-14
Category : Technology & Engineering
ISBN : 9783540265498

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This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforcement learning for a mobile robot, object tracking and motion estimation, 3D model construction, computer vision system and user modelling using dialogue strategies. This book will appeal to researchers, senior undergraduate/postgraduate students, application engineers and scientists.

Author : Alexandros Iosifidis
Publisher : Academic Press
Page : 638 pages
File Size : 17,20 MB
Release : 2022-02-04
Category : Computers
ISBN : 0323885721

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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

Author : Stephen Muggleton
Publisher : Oxford University Press
Page : 533 pages
File Size : 17,97 MB
Release : 2021
Category : Computers
ISBN : 0198862539

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This book, authored by an array of internationally recognised researchers, is of direct relevance to all those involved in Academia and Industry wanting to obtain insights into the topics at the forefront of the revolution in Artificial Intelligence and Cognitive Science.

Author : Mark Last
Publisher : World Scientific
Page : 221 pages
File Size : 35,33 MB
Release : 2004-06-03
Category : Computers
ISBN : 9814482609

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An inadequate infrastructure for software testing is causing major losses to the world economy. The characteristics of software quality problems are quite similar to other tasks successfully tackled by artificial intelligence techniques. The aims of this book are to present state-of-the-art applications of artificial intelligence and data mining methods to quality assurance of complex software systems, and to encourage further research in this important and challenging area.

Author : Julie A. Jacko
Publisher : Springer
Page : 1049 pages
File Size : 46,47 MB
Release : 2007-08-24
Category : Computers
ISBN : 3540731105

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Here is the third of a four-volume set that constitutes the refereed proceedings of the 12th International Conference on Human-Computer Interaction, HCII 2007, held in Beijing, China, in July 2007, jointly with eight other thematically similar conferences. It covers multimodality and conversational dialogue; adaptive, intelligent and emotional user interfaces; gesture and eye gaze recognition; and interactive TV and media.

Author : Victor V Alexandrov
Publisher : World Scientific
Page : 217 pages
File Size : 29,22 MB
Release : 1991-06-25
Category : Computers
ISBN : 9814506788

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This book considers computer vision to be an integral part of the artificial intelligence system. The core of the book is an analysis of possible approaches to the creation of artificial vision systems, which simulate human visual perception. Much attention is paid to the latest achievements in visual psychology and physiology, the description of the functional and structural organization of the human perception mechanism, the peculiarities of artistic perception and the expression of reality. Computer vision models based on these data are investigated. They include the processes of external data analysis, internal environmental model synthesis, and the generating of behavioristic responses based on external and internal models comparison. Computer vision system evolution resulting from environmental effects is also considered. A unique feature of this book is the authors' use of black and white, and colour prints of traditional and contemporary Russian art to illustrate their principal theses. In doing so, they introduce the reader to a particularly Russian view of the world.