Perception and Machine Intelligence

Perception and Machine Intelligence
Author: Malay K. Kundu
Publisher: Springer
Total Pages: 394
Release: 2012-01-12
Genre: 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.


Perception and Machine Intelligence
Language: en
Pages: 394
Authors: Malay K. Kundu
Categories: Computers
Type: BOOK - Published: 2012-01-12 - Publisher: Springer

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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 Janu
Perception and Machine Intelligence
Language: en
Pages: 400
Authors:
Categories:
Type: BOOK - Published: 2011-12-14 - Publisher:

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Machine Learning And Perception
Language: en
Pages: 218
Authors: Guido Tascini
Categories:
Type: BOOK - Published: 1996-05-06 - Publisher: World Scientific

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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 repres
Machine Learning and Robot Perception
Language: en
Pages: 370
Authors: Bruno Apolloni
Categories: Technology & Engineering
Type: BOOK - Published: 2005-09-14 - Publisher: Springer Science & Business Media

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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 rea
Machine Learning and Visual Perception
Language: en
Pages: 152
Authors: Baochang Zhang
Categories: Computers
Type: BOOK - Published: 2020-07-06 - Publisher: Walter de Gruyter GmbH & Co KG

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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