Advances In Brain Vision And Artificial Intelligence

Author : Francesco Mele
Publisher : Springer
ISBN 13 : 3540755551
Total Pages : 618 pages
Book Rating : 4.55/5 ( download)

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Download or read book Advances in Brain, Vision, and Artificial Intelligence written by Francesco Mele and published by Springer. This book was released on 2007-09-21 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Symposium on Brain, Vision and Artificial Intelligence, BVAI 2007. Coverage includes: basic models in visual sciences, cortical mechanism of vision, color processing in natural vision, action oriented vision, visual recognition and attentive modulation, biometric recognition, image segmentation and recognition, disparity calculation and noise analysis, meaning-interaction-emotion, and robot navigation.

Author : Massimo De Gregorio
Publisher : Springer Science & Business Media
ISBN 13 : 3540292829
Total Pages : 570 pages
Book Rating : 4.21/5 ( download)

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Download or read book Brain, Vision, and Artificial Intelligence written by Massimo De Gregorio and published by Springer Science & Business Media. This book was released on 2005-10-11 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Symposium on Brain, Vision and Artificial Intelligence, BVAI 2005, held in Naples, Italy in October 2005. The 48 revised papers presented together with 6 invited lectures were carefully reviewed and selected from more than 80 submissions for inclusion in the book. The papers are addressed to the following main topics and sub-topics: brain basics - neuroanatomy and physiology, development, plasticity and learning, synaptic, neuronic and neural network modelling; natural vision - visual neurosciences, mechanisms and model systems, visual perception, visual cognition; artificial vision - shape perception, shape analysis and recognition, shape understanding; artificial inteligence - hybrid intelligent systems, agents, and cognitive models.

Author : Jinchang Ren
Publisher : Springer Nature
ISBN 13 : 9819714176
Total Pages : 410 pages
Book Rating : 4.79/5 ( download)

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Download or read book Advances in Brain Inspired Cognitive Systems written by Jinchang Ren and published by Springer Nature. This book was released on with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Bernhard Sendhoff
Publisher : Springer Science & Business Media
ISBN 13 : 3642006159
Total Pages : 359 pages
Book Rating : 4.59/5 ( download)

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Download or read book Creating Brain-Like Intelligence written by Bernhard Sendhoff and published by Springer Science & Business Media. This book was released on 2009-04-02 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: TheInternationalSymposiumCreatingBrain-LikeIntelligencewasheldinFeb- ary 2007 in Germany. The symposium brought together notable scientists from di?erent backgrounds and with di?erent expertise related to the emerging ?eld of brain-like intelligence. Our understanding of the principles behind brain-like intelligence is still limited. After all, we have had to acknowledge that after tremendous advances in areas like neural networks, computational and arti?cial intelligence (a ?eld that had just celebrated its 50 year anniversary) and fuzzy systems, we are still not able to mimic even the lower-level sensory capabilities of humans or animals. We asked what the biggest obstacles are and how we could gain ground toward a scienti?c understanding of the autonomy, ?exibility, and robustness of intelligent biological systems as they strive to survive. New principles are usually found at the interfaces between existing disciplines, and traditional boundaries between disciplines have to be broken down to see how complex systems become simple and how the puzzle can be assembled. During the symposium we could identify some recurring themes that p- vaded many of the talks and discussions. The triad of structure, dynamics and environment,theroleoftheenvironmentasanactivepartnerinshapingsystems, adaptivity on all scales (learning, development, evolution) and the amalga- tion of an internal and external world in brain-like intelligence rate high among them. Each of us is rooted in a certain community which we have to serve with the results of our research. Looking beyond our ?elds and working at the interfaces between established areas of research requires e?ort and an active process.

Author : Jinchang Ren
Publisher : Springer
ISBN 13 : 3030005631
Total Pages : 870 pages
Book Rating : 4.34/5 ( download)

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Download or read book Advances in Brain Inspired Cognitive Systems written by Jinchang Ren and published by Springer. This book was released on 2018-10-05 with total page 870 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Advances in Brain Inspired Cognitive Systems, BICS 2018, held in Xi’an, China, in July 2018. The 83 papers presented in this volume were carefully reviewed and selected from 137 submissions. The papers were organized in topical sections named: neural computation; biologically inspired systems; image recognition: detection, tracking and classification; data analysis and natural language processing; and applications.

Author : Jinchang Ren
Publisher : Springer Nature
ISBN 13 : 303039431X
Total Pages : 606 pages
Book Rating : 4.18/5 ( download)

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Download or read book Advances in Brain Inspired Cognitive Systems written by Jinchang Ren and published by Springer Nature. This book was released on 2020-01-31 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Advances in Brain Inspired Cognitive Systems, BICS 2019, held in Guangzhou, China, in July 2019. The 57 papers presented in this volume were carefully reviewed and selected from 129 submissions. The papers are organized in topical sections named: neural computation; biologically inspired systems; image recognition: detection, tracking and classification; and data analysis and natural language processing.

Author : Cheng-Lin Liu
Publisher : Springer
ISBN 13 : 3319496859
Total Pages : 368 pages
Book Rating : 4.56/5 ( download)

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Download or read book Advances in Brain Inspired Cognitive Systems written by Cheng-Lin Liu and published by Springer. This book was released on 2016-11-11 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Brain Inspired Cognitive Systems, BICS 2016, held in Beijing, China, in November 2016. The 32 full papers presented were carefully reviewed and selected from 43 submissions. They discuss the emerging areas and challenges, present the state of the art of brain-inspired cognitive systems research and applications in diverse fields by covering many topics in brain inspired cognitive systems related research including biologically inspired systems, cognitive neuroscience, models consciousness, and neural computation.

Author : Bhatia, Madhulika
Publisher : IGI Global
ISBN 13 : 1668469820
Total Pages : 244 pages
Book Rating : 4.28/5 ( download)

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Download or read book Exploring Future Opportunities of Brain-Inspired Artificial Intelligence written by Bhatia, Madhulika and published by IGI Global. This book was released on 2023-03-20 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applying mechanisms and principles of human intelligence and converging the brain and artificial intelligence (AI) is currently a research trend. The applications of AI in brain simulation are countless. Brain-inspired intelligent systems will improve next-generation information processing by applying theories, techniques, and applications inspired by the information processing principles from the brain. Exploring Future Opportunities of Brain-Inspired Artificial Intelligence focuses on the convergence of AI with brain-inspired intelligence. It presents research on brain-inspired cognitive machines with vision, audition, language processing, and thinking capabilities. Covering topics such as data analysis tools, knowledge representation, and super-resolution, this premier reference source is an essential resource for engineers, developers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.

Author : M.G. Sumithra
Publisher : John Wiley & Sons
ISBN 13 : 1119857201
Total Pages : 325 pages
Book Rating : 4.04/5 ( download)

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Download or read book Brain-Computer Interface written by M.G. Sumithra and published by John Wiley & Sons. This book was released on 2023-03-14 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: BRAIN-COMPUTER INTERFACE It covers all the research prospects and recent advancements in the brain-computer interface using deep learning. The brain-computer interface (BCI) is an emerging technology that is developing to be more functional in practice. The aim is to establish, through experiences with electronic devices, a communication channel bridging the human neural networks within the brain to the external world. For example, creating communication or control applications for locked-in patients who have no control over their bodies will be one such use. Recently, from communication to marketing, recovery, care, mental state monitoring, and entertainment, the possible application areas have been expanding. Machine learning algorithms have advanced BCI technology in the last few decades, and in the sense of classification accuracy, performance standards have been greatly improved. For BCI to be effective in the real world, however, some problems remain to be solved. Research focusing on deep learning is anticipated to bring solutions in this regard. Deep learning has been applied in various fields such as computer vision and natural language processing, along with BCI growth, outperforming conventional approaches to machine learning. As a result, a significant number of researchers have shown interest in deep learning in engineering, technology, and other industries; convolutional neural network (CNN), recurrent neural network (RNN), and generative adversarial network (GAN). Audience Researchers and industrialists working in brain-computer interface, deep learning, machine learning, medical image processing, data scientists and analysts, machine learning engineers, electrical engineering, and information technologists.

Author : Viktor Vasil?evich Aleksandrov
Publisher : World Scientific
ISBN 13 : 9789810202989
Total Pages : 224 pages
Book Rating : 4.89/5 ( download)

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Download or read book From Humans to Computers written by Viktor Vasil?evich Aleksandrov and published by World Scientific. This book was released on 1991 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.