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Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms

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Book Series: Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie ISSN: 16134214 ISBN: 9783731500810 Year: Volume: 025 Pages: V, 162 p. DOI: 10.5445/KSP/1000036064 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:01:58
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This work is a contribution to understanding multi-object traffic scenes from video sequences. All data is provided by a camera system which is mounted on top of the autonomous driving platform AnnieWAY. The proposed probabilistic generative model reasons jointly about the 3D scene layout as well as the 3D location and orientation of objects in the scene. In particular, the scene topology, geometry as well as traffic activities are inferred from short video sequences.

Applied Artificial Neural Networks

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ISBN: 9783038422709 9783038422716 Year: Pages: XIV, 244 DOI: 10.3390/books978-3-03842-271-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2016-11-11 19:33:54
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Since their re-popularisation in the mid-1980s, artificial neural networks have seen an explosion of research across a diverse spectrum of areas. While an immense amount of research has been undertaken in artificial neural networks themselves—in terms of training, topologies, types, etc.—a similar amount of work has examined their application to a whole host of real-world problems. Such problems are usually difficult to define and hard to solve using conventional techniques. Examples include computer vision, speech recognition, financial applications, medicine, meteorology, robotics, hydrology, etc.This Special Issue focuses on the second of these two research themes, that of the application of neural networks to a diverse range of fields and problems. It collates contributions concerning neural network applications in areas such as engineering, hydrology and medicine.

Symbiotic Interaction: 5th International Workshop, Symbiotic 2016, Padua, Italy, September 29–30, 2016, Revised Selected Papers

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Book Series: Information Systems and Applications, incl. Internet/Web, and HCI ISSN: 1611-3349 ISBN: 9783319577524 9783319577531 Year: Pages: 182 DOI: 10.1007/978-3-319-57753-1 Language: English
Publisher: Springer
Subject: Computer Science
Added to DOAB on : 2017-05-26 17:57:08
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This book constitutes the proceedings of the 5th International Workshop on Symbiotic Interaction, Symbiotic 2016, held in Padua, Italy, in October 2016.The 12 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 23 submissions. The idea of symbiotic systems put forward in this workshop capitalizes on the computers’ ability to implicitly detect the users goals, preferences or/and psycho-physiological states and thereby enhancing human-computer interaction (HCI). The papers present an overview of the symbiotic relationships between humans and computers with emphasis on user-driven research on symbiotic systems, adaptive systems, implicit input data, physiological computing and BCI, but also on understanding the nature of the interdependence and agency between computers and humans more broadly.

Large-Scale Pattern-Based Information Extraction from the World Wide Web

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ISBN: 9783866444799 Year: Pages: VII, 236 p. DOI: 10.5445/KSP/1000015694 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Business and Management
Added to DOAB on : 2019-07-30 20:01:57
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Extracting information from text is the task of obtaining structured, machine-processable facts from information that is mentioned in an unstructured manner. It thus allows systems to automatically aggregate information for further analysis, efficient retrieval, automatic validation, or appropriate visualization. This work explores the potential of using textual patterns for Information Extraction from the World Wide Web.

Efficient Reinforcement Learning using Gaussian Processes

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Book Series: Karlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory ISSN: 18673813 ISBN: 9783866445697 Year: Volume: 9 Pages: IX, 205 p. DOI: 10.5445/KSP/1000019799 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:02:01
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This book examines Gaussian processes in both model-based reinforcement learning (RL) and inference in nonlinear dynamic systems.First, we introduce PILCO, a fully Bayesian approach for efficient RL in continuous-valued state and action spaces when no expert knowledge is available. PILCO takes model uncertainties consistently into account during long-term planning to reduce model bias. Second, we propose principled algorithms for robust filtering and smoothing in GP dynamic systems.

Automation and Control Trends

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ISBN: 9789535126706 9789535126713 Year: Pages: 202 DOI: 10.5772/61646 Language: English
Publisher: IntechOpen
Subject: Computer Science
Added to DOAB on : 2019-10-03 07:51:49

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This book is an overview of the different paths automation and control engineering have taken lately, from a modern point of view. Built up with example chapters, this book provides some insight into the use of artificial intelligence and control theory on manufacturing, comfort analysis, reliability of modern digital systems, and the use of unusual reference and feedback signals as those coming from the brain. Nonetheless, some chapters are also devoted to a more traditional point of view of control theory, addressing complex problems where human intervention must be limited. Overall, this book is an effort to show that modern automation and control engineering are comprised by many diverse areas, which should interact in order to provide a complete result. In this way, as the systems become more complex and the control objectives more subjective, both, formal analytic and intelligent approaches, should be seen as complementary tools, not unrelated competitors. This book&rsquo;s aim is precisely that of showing how broad and diverse the control objectives have become and how the abilities of the control engineer should be extended.

Color Image Processing

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ISBN: 9783038429579 9783038429586 Year: Pages: X, 228 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering
Added to DOAB on : 2018-05-22 12:58:28
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What we call the "color" of an object is the result of a very complicated and not yet fully understood mechanism that involves the interaction between the light reflected by the object surface and the eyes, and the subsequent analysis of the retinal signal by the brain. For these reasons, research into color is intrinsically multidisciplinary and can be conducted from many points of view. The contributions presented in this book reflect this spirit, ranging from rigorous mathematical models of color geometry, to the psychophysical discussion of chromatic visual illusion, passing through state-of-the-art computational models in color enhancement. The idea behind this book is to give the reader an idea of the richness and variety of the research into color, proving it to be one of the most fascinating interdisciplinary research fields in contemporary science.

Intelligent Human Computer Interaction: 9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings

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Book Series: Information Systems and Applications, incl. Internet/Web, and HCI ISSN: 0302-9743 ISBN: 9783319720371 9783319720388 Year: Volume: 10688 Pages: 216 DOI: https://doi.org/10.1007/978-3-319-72038-8 Language: English
Publisher: Springer Grant: Telecom SudParis
Subject: Computer Science
Added to DOAB on : 2018-06-29 10:52:43
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This book constitutes the thoroughly refereed proceedings of the 9th International Conference on Intelligent Human Computer Interaction, IHCI 2017, held in Evry, France, in December 2017.The 15 papers presented together with three invited papers were carefully reviewed and selected from 25 submissions. The conference is forum for the presentation of technological advances and research results at the crossroads of human-computer interaction, artificial intelligence, signal processing and computer vision.

Nanoinformatics

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ISBN: 9789811076169 9789811076176 Year: Pages: 298 DOI: https://doi.org/10.1007/978-981-10-7617-6 Language: English
Publisher: Springer Grant: Japan Society for the Promotion of Science (JSPS)
Subject: Computer Science --- Technology (General)
Added to DOAB on : 2018-06-29 12:53:05
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This open access book brings out the state of the art on how informatics-based tools are used and expected to be used in nanomaterials research. There has been great progress in the area in which “big-data” generated by experiments or computations are fully utilized to accelerate discovery of new materials, key factors, and design rules. Data-intensive approaches play indispensable roles in advanced materials characterization. "Materials informatics" is the central paradigm in the new trend. "Nanoinformatics" is its essential subset, which focuses on nanostructures of materials such as surfaces, interfaces, dopants, and point defects, playing a critical role in determining materials properties. There have been significant advances in experimental and computational techniques to characterize individual atoms in nanostructures and to gain quantitative information. The collaboration of researchers in materials science and information science is growing actively and is creating a new trend in materials science and engineering.

Machine Learning With Radiation Oncology Big Data

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889457304 Year: Pages: 146 DOI: 10.3389/978-2-88945-730-4 Language: English
Publisher: Frontiers Media SA
Subject: Medicine (General) --- Oncology
Added to DOAB on : 2019-01-23 14:53:43
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Radiation oncology is uniquely positioned to harness the power of big data as vast amounts of data are generated at an unprecedented pace for individual patients in imaging studies and radiation treatments worldwide. The big data encountered in the radiotherapy clinic may include patient demographics stored in the electronic medical record (EMR) systems, plan settings and dose volumetric information of the tumors and normal tissues generated by treatment planning systems (TPS), anatomical and functional information from diagnostic and therapeutic imaging modalities (e.g., CT, PET, MRI and kVCBCT) stored in picture archiving and communication systems (PACS), as well as the genomics, proteomics and metabolomics information derived from blood and tissue specimens. Yet, the great potential of big data in radiation oncology has not been fully exploited for the benefits of cancer patients due to a variety of technical hurdles and hardware limitations.With recent development in computer technology, there have been increasing and promising applications of machine learning algorithms involving the big data in radiation oncology. This research topic is intended to present novel technological breakthroughs and state-of-the-art developments in machine learning and data mining in radiation oncology in recent years.

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