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Probabilistic Parametric Curves For Sequence Modeling
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Book Synopsis Probabilistic Parametric Curves for Sequence Modeling by : Hug, Ronny
Download or read book Probabilistic Parametric Curves for Sequence Modeling written by Hug, Ronny and published by KIT Scientific Publishing. This book was released on 2022-07-12 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work proposes a probabilistic extension to Bézier curves as a basis for effectively modeling stochastic processes with a bounded index set. The proposed stochastic process model is based on Mixture Density Networks and Bézier curves with Gaussian random variables as control points. A key advantage of this model is given by the ability to generate multi-mode predictions in a single inference step, thus avoiding the need for Monte Carlo simulation.
Book Synopsis Robotics, Computer Vision and Intelligent Systems by : Péter Galambos
Download or read book Robotics, Computer Vision and Intelligent Systems written by Péter Galambos and published by Springer Nature. This book was released on 2022-11-09 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the papers of two workshops which were held in conjunctionwith the First International Conference on Robotics, Computer Vision and Intelligent Systems,ROBOVIS 2020, Virtual Event, in November 4-6, 2020 and Second International Conference on Robotics, Computer Vision and Intelligent Systems,ROBOVIS 2021, Virtual Event, in October 25-27, 2021. The 11 revised full papers presented in this book were carefully reviewed and selectedfrom 53 submissions.
Book Synopsis Multimodal Panoptic Segmentation of 3D Point Clouds by : Dürr, Fabian
Download or read book Multimodal Panoptic Segmentation of 3D Point Clouds written by Dürr, Fabian and published by KIT Scientific Publishing. This book was released on 2023-10-09 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: The understanding and interpretation of complex 3D environments is a key challenge of autonomous driving. Lidar sensors and their recorded point clouds are particularly interesting for this challenge since they provide accurate 3D information about the environment. This work presents a multimodal approach based on deep learning for panoptic segmentation of 3D point clouds. It builds upon and combines the three key aspects multi view architecture, temporal feature fusion, and deep sensor fusion.
Book Synopsis Proceedings of the 2022 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory by : Beyerer, Jürgen
Download or read book Proceedings of the 2022 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory written by Beyerer, Jürgen and published by KIT Scientific Publishing. This book was released on 2023-07-05 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: In August 2022, Fraunhofer IOSB and IES of KIT held a joint workshop in a Schwarzwaldhaus near Triberg. Doctoral students presented research reports and discussed various topics like computer vision, optical metrology, network security, usage control, and machine learning. This book compiles the workshop's results and ideas, offering a comprehensive overview of the research program of IES and Fraunhofer IOSB.
Book Synopsis Self-learning Anomaly Detection in Industrial Production by : Meshram, Ankush
Download or read book Self-learning Anomaly Detection in Industrial Production written by Meshram, Ankush and published by KIT Scientific Publishing. This book was released on 2023-06-19 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Configuring an anomaly-based Network Intrusion Detection System for cybersecurity of an industrial system in the absence of information on networking infrastructure and programmed deterministic industrial process is challenging. Within the research work, different self-learning frameworks to analyze passively captured network traces from PROFINET-based industrial system for protocol-based and process behavior-based anomaly detection are developed, and evaluated on a real-world industrial system.
Book Synopsis Distributed Planning for Self-Organizing Production Systems by : Pfrommer, Julius
Download or read book Distributed Planning for Self-Organizing Production Systems written by Pfrommer, Julius and published by KIT Scientific Publishing. This book was released on 2024-06-04 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: In dieser Arbeit wird ein Ansatz entwickelt, um eine automatische Anpassung des Verhaltens von Produktionsanlagen an wechselnde Aufträge und Rahmenbedingungen zu erreichen. Dabei kommt das Prinzip der Selbstorganisation durch verteilte Planung zum Einsatz. - Most production processes are rigid not only by way of the physical layout of machines and their integration, but also by the custom programming of the control logic for the integration of components to a production systems. Changes are time- and resource-expensive. This makes the production of small lot sizes of customized products economically challenging. This work develops solutions for the automated adaptation of production systems based on self-organisation and distributed planning.
Book Synopsis Probabilistic Modeling in Bioinformatics and Medical Informatics by : Dirk Husmeier
Download or read book Probabilistic Modeling in Bioinformatics and Medical Informatics written by Dirk Husmeier and published by Springer Science & Business Media. This book was released on 2005-02 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written for researchers and students in statistics, machine learning, and the biological sciences. This book provides a self-contained introduction to the methodology of Bayesian networks. It offers both elementary tutorials as well as more advanced applications and case studies.
Book Synopsis Probabilistic Numerics by : Philipp Hennig
Download or read book Probabilistic Numerics written by Philipp Hennig and published by Cambridge University Press. This book was released on 2022-06-30 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: A thorough introduction to probabilistic numerics showing how to build more flexible, efficient, or customised algorithms for computation.
Book Synopsis Probabilistic Graphical Models by : Luis Enrique Sucar
Download or read book Probabilistic Graphical Models written by Luis Enrique Sucar and published by Springer. This book was released on 2015-06-19 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This accessible text/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective. The book covers the fundamentals for each of the main classes of PGMs, including representation, inference and learning principles, and reviews real-world applications for each type of model. These applications are drawn from a broad range of disciplines, highlighting the many uses of Bayesian classifiers, hidden Markov models, Bayesian networks, dynamic and temporal Bayesian networks, Markov random fields, influence diagrams, and Markov decision processes. Features: presents a unified framework encompassing all of the main classes of PGMs; describes the practical application of the different techniques; examines the latest developments in the field, covering multidimensional Bayesian classifiers, relational graphical models and causal models; provides exercises, suggestions for further reading, and ideas for research or programming projects at the end of each chapter.
Book Synopsis Statistical Analysis of Microbiome Data by : Somnath Datta
Download or read book Statistical Analysis of Microbiome Data written by Somnath Datta and published by Springer Nature. This book was released on 2021-10-27 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Microbiome research has focused on microorganisms that live within the human body and their effects on health. During the last few years, the quantification of microbiome composition in different environments has been facilitated by the advent of high throughput sequencing technologies. The statistical challenges include computational difficulties due to the high volume of data; normalization and quantification of metabolic abundances, relative taxa and bacterial genes; high-dimensionality; multivariate analysis; the inherently compositional nature of the data; and the proper utilization of complementary phylogenetic information. This has resulted in an explosion of statistical approaches aimed at tackling the unique opportunities and challenges presented by microbiome data. This book provides a comprehensive overview of the state of the art in statistical and informatics technologies for microbiome research. In addition to reviewing demonstrably successful cutting-edge methods, particular emphasis is placed on examples in R that rely on available statistical packages for microbiome data. With its wide-ranging approach, the book benefits not only trained statisticians in academia and industry involved in microbiome research, but also other scientists working in microbiomics and in related fields.
Book Synopsis Probability Models for DNA Sequence Evolution by : Richard Durrett
Download or read book Probability Models for DNA Sequence Evolution written by Richard Durrett and published by Springer Science & Business Media. This book was released on 2002 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many researchers in statistics, biology, mathematics, and computer science are working in the area of genetics. This book presents mathematical techniques for understanding sequence evolution. Throughout the book, the theory is developed in close connection with data from more than 60 experimental studies from the biology literature that illustrate the use of these results. This book is written for mathematicians and for biologists alike. It assumes no previous knowledge of concepts from biology and only a basic knowledge of probability.
Book Synopsis Probabilistic Methods Applied to Electric Power Systems by : Samy G. Krishnasamy
Download or read book Probabilistic Methods Applied to Electric Power Systems written by Samy G. Krishnasamy and published by Elsevier. This book was released on 2013-10-22 with total page 679 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Methods Applied to Electric Power Systems contains the proceedings of the First International Symposium held in Toronto, Ontario, Canada, on July 11-13, 1986. The papers explore significant technical advances that have been made in the application of probability methods to the design of electric power systems. This volume is comprised of 65 chapters divided into 10 sections and begins by discussing the probabilistic methodologies used in the assessment of power system reliability and structural design. The following chapters focus on the applications of probabilistic techniques to the analysis and design of transmission systems and structures; evaluation of design and reliability of distribution systems; system planning; and assessment of performance of transmission system components such as insulators, tower joints, and foundations. The probability-based procedures for dealing with data bases such as wind load and ice load are also considered, along with the effects of weather-induced loads on overhead power lines and the use of probability methods in upgrading existing power lines and components. The final section deals with applications of probability methods to power system problems not covered in other chapters. This book will be of value to engineers involved in uprating, designing, analyzing, and assessing reliability of transmission and distribution systems.
Download or read book Deformable Models written by Aly Farag and published by Springer Science & Business Media. This book was released on 2007-08-10 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the complete spectrum of deformable models, its evolution as an imagery field and its use in many biomedical engineering and clinical application disciplines. The book focuses on the core image processing techniques, theory and biomaterials useful to research and industry. Contributors are all pioneers in the field.
Book Synopsis Handbook of Probability by : Tamás Rudas
Download or read book Handbook of Probability written by Tamás Rudas and published by SAGE. This book was released on 2008-02-21 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Probability presents an equal balance of theory and direct applications in a non-technical, yet comprehensive format so that researchers of various backgrounds can use the reference either as a primer for understanding basic probability theory or as a more advanced research tool for specific projects requiring a deeper understanding or application of probability. The wide-ranging applications of probability presented make it useful for researchers who need to make interdisciplinary connections in their work, as well as professors who teach a range of students (social sciences, education, business, behavioral sciences, etc.) and need to bring probability into greater, concrete perspective for these students.
Book Synopsis Invertebrate Zoology by : Bernd Schierwater
Download or read book Invertebrate Zoology written by Bernd Schierwater and published by CRC Press. This book was released on 2021-07-08 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: Invertebrate Zoology: A Tree of Life Approach is a comprehensive and authoritative textbook adopting an explicitly phylogenetic organization. Most of the classical anatomical and morphological work has not been changed – it established the foundation of Invertebrate Zoology. With the explosion of Next-Generation Sequencing approaches, there has been a sea-change in the recognized phylogenetic relationships among and between invertebrate lineages. In addition, the merger of evolutionary and developmental biology (evo-devo) has dramatically contributed to changes in the understanding of invertebrate biology. Synthesizing these three approaches (classical morphology, sequencing data, and evo-devo studies) offers students an entirely unique perspective of invertebrate diversity. Key Features One of the first textbooks to combine classical morphological approaches and newer evo-devo and Next-Generation Sequencing approaches to address Invertebrate Zoology Organized along taxonomic lines in accord with the latest understanding of invertebrate phylogeny Will provide background in basic systematic analysis useful within any study of biodiversity A wealth of ancillary materials for students and teachers, including downloadable figures, lecture slides, web links, and phylogenetic data matrices
Book Synopsis An Introduction to Model-Based Cognitive Neuroscience by : Birte U. Forstmann
Download or read book An Introduction to Model-Based Cognitive Neuroscience written by Birte U. Forstmann and published by Springer Nature. This book was released on with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Formal Aspects in Security and Trust by : Pierpaolo Degano
Download or read book Formal Aspects in Security and Trust written by Pierpaolo Degano and published by Springer Science & Business Media. This book was released on 2010-04-20 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the 6th International Workshop on Formal Aspects in Security and Trust, FAST 2009, held under the auspices of IFIP WG 1.7 in Eindhoven, The Netherlands, in November 2009 as an event of the Formal Methods Week, FMweek 2009. The 18 revised papers presented together with an abstract of the invited lecture were carefully reviewed and selected from 50 submissions. The papers focus of formal aspects in security and trust policy models, security protocol design and analysis, formal models of trust and reputation, logics for security and trust, distributed trust management systems, trust-based reasoning, digital assets protection, data protection, privacy and id issues, information flow analysis, language-based security, security and trust aspects in ubiquitous computing, validation/analysis tools, Web service security/trust/privacy, grid security, security risk assessment, and case studies.
