Taxonomy

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Taxonomy is the practice and science of classification. (Wikipedia.org)






Conferences related to Taxonomy

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2014 IEEE Frontiers in Education Conference (FIE)

The Frontiers in Education (FIE)Conference is the major international conference about educational innovations and research in engineering and computing. FIE 2014 continues a long tradition of disseminating results in these areas. It is an ideal forum for sharing ideas; learning about developments in computer science, engineering, and technology education; and interacting with colleagues in these fields.

  • 2013 IEEE Frontiers in Education Conference (FIE)

    The Frontiers in Education (FIE)Conference is the major international conference about educational innovations and research in engineering and computing. FIE 2013 continues a long tradition of disseminating results in these areas. It is an ideal forum for sharing ideas; learning about developments in computer science, engineering, and technology education; and interacting with colleagues in these fields.

  • 2012 IEEE Frontiers in Education Conference (FIE)

    The Frontiers in Education (FIE)Conference is the major international conference about educational innovations and research in engineering and computing. FIE 2012 continues a long tradition of disseminating results in these areas. It is an ideal forum for sharing ideas; learning about developments in computer science, engineering, and technology education; and interacting with colleagues in these fields.

  • 2011 Frontiers in Education Conference (FIE)

    The Frontiers in Education (FIE) Conference is the major international conference about educational innovations and research in engineering and computing. FIE 2011 continues a long tradition of disseminating results in these areas. It is an ideal forum for sharing ideas; learning about developments in computer science, engineering, and technology education; and interacting with colleagues in these fields.

  • 2010 IEEE Frontiers in Education Conference (FIE)

    (FIE) Conference is a major international conference devoted to improvements in computer science, engineering, and technology (CSET) education. FIE 2008 continues a long tradition of disseminating educational research results and innovative practices in CSET education. It is an ideal forum for sharing ideas, learning about developments in CSET education, and interacting with colleagues.

  • 2009 IEEE Frontiers in Education Conference (FIE)

    FIE is a major international conference devoted to improvements in computer science, engineering and technology (CSET) education. FIE continues a loong tradition of disseminating educational research results and innovative practices in CSET education. It is an ideal forum for sharing ideas, learning about developments in CSET education, and interacting with colleagues.

  • 2008 IEEE Frontiers in Education Conference (FIE)

  • 2007 IEEE Frontiers in Education Conference (FIE)

    Globalization has dramatically changed engineering. Global engineering teams design products for global markets. Knowledge has no borders in a world where information flow is digitalized and sent worldwide in seconds. A core requirement of engineering globalization is an understanding of how the different cultures of the global marketplace shape product development, mult-national engineering teams, and consumer expectations. Engineering education must address this issue.


2013 5th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

providing an open forum for researchers, engineers, network planners and service providers targeted on newly emerging algorithms, systems, standards, services, and applications, bringing together leading international players in telecommunications, control systems, automation and robotics. The event is positioned as a major international annual congress for the presentation of original and fundamental research and engineering results.

  • 2012 IV International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT 2012)

    ICUMT is an annual international congress providing an open forum for researchers, engineers, network planners and service providers targeted on newly emerging algorithms, systems, standards, services, and applications, bringing together leading international players in telecommunications, control systems, automation and robotics. The event is positioned as a major international annual congress for the presentation of original and fundamental research and engineering results.

  • 2011 3rd International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT 2011)

    ICUMT is an annual international congress providing an open forum for researchers, engineers, network planners and service providers targeted on newly emerging algorithms, systems, standards, services, and applications, bringing together leading international players in telecommunications, control systems, automation and robotics. The event is positioned as a major international annual congress for the presentation of original and fundamental research and engineering results.

  • 2010 International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT 2010)

    ICUMT is an annual international congress providing an open forum for researchers, engineers, network planners and service providers in telecommunications and control systems targeted on newly emerging algorithms, systems, standards, services, and applications. ICUMT is positioned as a premier international annual congress for the presentation of original and fundamental research and engineering results. The aim of ICUMT is to bring together Russian and international players in telecommunications and contro

  • 2009 International Conference on Ultra Modern Telecommunications (ICUMT 2009)

    The aim of ICUMT is to bring together Russian and international players in telecommunications. ICUMT is positioned as a premier international annual conference for the presentation of original and fundamental research results in various fields of telecommunications. The conference will consist of technical symposia, workshops and industrial panels. The conference has strong industrial support from worldwide leading telecommunication vendors as well as national companies and SMEs.


2013 Seventh International Conference on lT Security lncident Management and lT Forensics (IMF)

lMF s intent is to gather experts from throughout the world in order to present and discuss recent technical andmethodical advances in the fields of lT security incident response and management and lT forensics. The conferenceprovides a platform for collaboration and exchange of ideas between industry (both as users and solution providers),academia, law-enforcement and olher govemment bodies.


2011 Eurographics/IEEE Symposium on Visualization (EUROVIS)

EuroVis is Europe's best annual meeting in the field of visualization research. The presented and published works range from scientific visualization, information visualization, and visual analytics to a large variety of applications in visualization.

  • 2010 IEEE Eurographics Symposium on Visualization (EUROVIS)

    Visualization has become an increasingly important research area due to its wide range of applications in many disciplines. EuroVis is a Eurographics and IEEE co-sponsored international visualization symposium held in Europe every year since 1999, with the objective to foster greater exchange between visualization researchers and practitioners, and to draw more researchers in Europe to enter this rapidly growing area of research. EuroVis has an expanded scope to include all areas of visualization, and a spo

  • 2009 Joint Eurographics/IEEE VGTC Symposium on Visualization (EUROVIS)

    EuroVis 2009 is the eleventh annual Visualization Symposium jointly organized by the Eurographics Working Group on Data Visualization and the IEEE Visualization and Graphics Technical Committee.


2011 IEEE 3rd International Conference on Signal Processing Systems (ICSPS)

ICSPS is one of the leading international conferences for presenting novel and fundamental advances in the fields of Signal Processing Systems. It also serves to foster communication among researchers and practitioners working in a wide variety of scientific areas with a common interest in improving Signal Processing Systems related techniques.


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Periodicals related to Taxonomy

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Most published Xplore authors for Taxonomy

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Xplore Articles related to Taxonomy

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Redundant functional faults reduction by saboteurs synthesis [logic verification]

F. Fummi; C. Marconcini; G. Pravadelli Eighth IEEE International High-Level Design Validation and Test Workshop, 2003

High-level descriptions of digital systems are perturbed by using high-level fault models in order to perform functional verification. Fault lists should be accurately created in order to avoid waste of time during ATPG and fault simulation. However, automatic fault injection tools can insert redundant faults which are not symptoms of design errors. Such redundant faults should be removed from the ...


A framework for risk analysis in software engineering

G. G. Roy; T. L. Woodings Proceedings Seventh Asia-Pacific Software Engeering Conference. APSEC 2000, 2000

The paper is concerned with the risks associated with software development and with the range of factors that can impact on the quality of the project management process. The management goal is to mitigate these risks leaving the project plan as unperturbed as possible. To achieve this goal risk analysis must attempt to identify the high risk elements of the ...


Placement by Simulated Annealing on a Multiprocessor

S. A. Kravitz; R. A. Rutenbar IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1987

Physical design tools based on simulated annealing algorithms have been shown to produce results of extremely high quality, but typically at a very high cost in execution time. This paper selects a representative annealing application--standard cell placement--and develops multiprocessor-based annealing algorithms for placement. A taxonomy of possible multiprocessor decompositions of annealing algorithms is presented which divides decomposition schemes into two ...


Modulus constraints in adaptive radar waveform design

Lee K. Patton; Brian D. Rigling 2008 IEEE Radar Conference, 2008

Within the taxonomy of adaptive waveform generation methodologies is the family of arbitrary waveform design algorithms, which are capable of designing both the modulus and phase of a complex-valued waveform in response to changes in the operational environment of the sensor. Algorithms of this kind have been the subject of renewed research interest as a consequence of the relatively recent ...


Call-type classification and unsupervised training for the call center domain

Min Tang; B. Pellom; K. Hacioglu 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721), 2003

We describe recent experiments in call-type classification and acoustic modeling for speech recognition in the call center domain. We first describe the CU Call Center Corpus, a database of human-to-human conversations recorded from an information technology (IT) help desk call center located on the University of Colorado campus. Next, we describe our analysis and labeling of the recorded conversations into ...


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Educational Resources on Taxonomy

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eLearning

Redundant functional faults reduction by saboteurs synthesis [logic verification]

F. Fummi; C. Marconcini; G. Pravadelli Eighth IEEE International High-Level Design Validation and Test Workshop, 2003

High-level descriptions of digital systems are perturbed by using high-level fault models in order to perform functional verification. Fault lists should be accurately created in order to avoid waste of time during ATPG and fault simulation. However, automatic fault injection tools can insert redundant faults which are not symptoms of design errors. Such redundant faults should be removed from the ...


A framework for risk analysis in software engineering

G. G. Roy; T. L. Woodings Proceedings Seventh Asia-Pacific Software Engeering Conference. APSEC 2000, 2000

The paper is concerned with the risks associated with software development and with the range of factors that can impact on the quality of the project management process. The management goal is to mitigate these risks leaving the project plan as unperturbed as possible. To achieve this goal risk analysis must attempt to identify the high risk elements of the ...


Placement by Simulated Annealing on a Multiprocessor

S. A. Kravitz; R. A. Rutenbar IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1987

Physical design tools based on simulated annealing algorithms have been shown to produce results of extremely high quality, but typically at a very high cost in execution time. This paper selects a representative annealing application--standard cell placement--and develops multiprocessor-based annealing algorithms for placement. A taxonomy of possible multiprocessor decompositions of annealing algorithms is presented which divides decomposition schemes into two ...


Modulus constraints in adaptive radar waveform design

Lee K. Patton; Brian D. Rigling 2008 IEEE Radar Conference, 2008

Within the taxonomy of adaptive waveform generation methodologies is the family of arbitrary waveform design algorithms, which are capable of designing both the modulus and phase of a complex-valued waveform in response to changes in the operational environment of the sensor. Algorithms of this kind have been the subject of renewed research interest as a consequence of the relatively recent ...


Call-type classification and unsupervised training for the call center domain

Min Tang; B. Pellom; K. Hacioglu 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721), 2003

We describe recent experiments in call-type classification and acoustic modeling for speech recognition in the call center domain. We first describe the CU Call Center Corpus, a database of human-to-human conversations recorded from an information technology (IT) help desk call center located on the University of Colorado campus. Next, we describe our analysis and labeling of the recorded conversations into ...


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IEEE-USA E-Books

  • Interoperability Aspects of Fuzzy Sets

    This chapter contains sections titled: Fuzzy set and its family of -cuts Fuzzy sets and their interfacing with the external world Encoding and decoding as an optimization problem of vector quantization Decoding of a fuzzy set through a family of fuzzy sets Taxonomy of data in structure description with shadowed sets Conclusions Exercises and problems Historical notes References

  • The Suppliers' Working Group Enterprise Integration Reference Taxonomy

    For several years, the US sponsors of ICEIMT have been studying the technical issues of Enterprise Integration (EI). TTie most productive of these efforts was a long-lived precompetitive collaboration among major suppliers of EI infrastructure. This group, the Suppliers' Working Group, provided the baseline of technical issues for the conference in the form of a Reference Taxonomy.

  • From Shared Databases to Communities of Practice: A Taxonomy of Collaboratories

    This chapter contains sections titled: Collaboratory Typologies, Data Set and Sampling Methods, Conclusions, Acknowledgments, Notes, References

  • No title

    <p>Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects. These objectives typically conflict, e.g., we can often increase the efficacy of the treatment, but at the cost of more severe side effects. In this book, we outline how to deal with multiple objectives in decision-theoretic planning and reinforcement learning algorithms. To illustrate this, we employ the popular problem classes of multi-objective Markov decision processes (MOMDPs) and multi-objective coordination graphs (MO-CoGs).</p> <p>First, we discuss different use cases for multi-objective decision making, and why they often necessitate explicitly multi-objective algorithms. We advocate a utility-based approach to multi- objective decision making, i.e., that what constitutes an optimal solution to a multi-objective decision problem should be derived from th available information about user utility. We show how different assumptions about user utility and what types of policies are allowed lead to different solution concepts, which we outline in a taxonomy of multi-objective decision problems.</p> <p>Second, we show how to create new methods for multi-objective decision making using existing single-objective methods as a basis. Focusing on planning, we describe two ways to creating multi-objective algorithms: in the inner loop approach, the inner workings of a single-objective method are adapted to work with multi-objective solution concepts; in the outer loop approach, a wrapper is created around a single-objective method that solves the multi-objective problem as a series of single-objective problems. After discussing the creation of such methods for the planning setting, we discuss how these approaches apply to the learning setting.</p> <p>Next, we discuss three promising application domains for multi-o jective decision making algorithms: energy, health, and infrastructure and transportation. Finally, we conclude by outlining important open problems and promising future directions.</p>

  • Low-Density Separation

    In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in which no label data are given). Interest in SSL has increased in recent years, particularly because of application domains in which unlabeled data are plentiful, such as images, text, and bioinformatics. This first comprehensive overview of SSL presents state-of-the-art algorithms, a taxonomy of the field, selected applications, benchmark experiments, and perspectives on ongoing and future research.Semi- Supervised Learning first presents the key assumptions and ideas underlying the field: smoothness, cluster or low-density separation, manifold structure, and transduction. The core of the book is the presentation of SSL methods, organized according to algorithmic strategies. After an examination of generative models, the book describes algorithms that implement the low- density separation assumption, graph-based methods, and algorithms that perform two-step learning. The book then discusses SSL applications and offers guidelines for SSL practitioners by analyzing the results of extensive benchmark experiments. Finally, the book looks at interesting directions for SSL research. The book closes with a discussion of the relationship between semi-supervised learning and transduction.Olivier Chapelle and Alexander Zien are Research Scientists and Bernhard Schölkopf is Professor and Director at the Max Planck Institute for Biological Cybernetics in Tÿbingen. Schölkopf is coauthor of Learning with Kernels (MIT Press, 2002) and is a coeditor of Advances in Kernel Methods: Support Vector Learning (1998), Advances in Large- Margin Classifiers (2000), and Kernel Methods in Computational B iology (2004), all published by The MIT Press.</P

  • The People in Digital Libraries: Multifaceted Approaches to Assessing Needs and Impact

    This chapter contains sections titled: Human Information Needs, Characteristics, and Contexts, Design, Implementation, and Evaluation, Digital Libraries: Integrating People, Information, and Systems, The Perseus Project Evaluation, Baltimore Learning Community Project, Library of Congress National Digital Library Program, The LC NDL Context and High-Level Goals, Needs Assessment Stakeholders, Data Collection Procedures, Results of Reading Room Visits and Interviews: Users and Strategies, Questionnaire Results, LC Document Analysis, User Type and Task Taxonomy, Design Implications, Conclusion

  • Bibliography

    OFDM systems have experienced increased attention in recent years and have found applications in a number of diverse areas including telephone-line based ADSL links, digital audio and video broadcasting systems, and wireless local area networks. OFDM is being considered for the next-generation of wireless systems both with and without direct sequence spreading and the resultant spreading-based multi-carrier CDMA systems have numerous attractive properties. This volume provides the reader with a broad overview of the research on OFDM systems during their 40-year history. **Part I** commences with an easy to read conceptual, rather than mathematical, treatment of the basic design issues of OFDM systems. The discussions gradually deepen to include adaptive single and multi-user OFDM systems invoking adaptive turbo coding. **Part II** introduces the taxonomy of multi-carrier CDMA systems and deals with the design of their spreading codes and the objective of minimising their c est factors. This part also compares the benefits of adaptive modulation and space-time coding with the conclusion that in conjunction with multiple transmitters and receivers the advantages of adaptive modulation gradually erode both in OFDM and MC-CDMA systems. **Part III** addresses a host of advanced channel estimation and multi-user detection problems in the context of Space Division Multiple Access (SDMA) systems. Aimed at the mathematically advanced reader, this part provides a range of implementation-ready solutions, performance results and future research issues. Researchers, advanced students and practising engineers working in wireless communications will all find this valuable text illuminating and informative.

  • A Discussion of Semi-Supervised Learning and Transduction

    In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in which no label data are given). Interest in SSL has increased in recent years, particularly because of application domains in which unlabeled data are plentiful, such as images, text, and bioinformatics. This first comprehensive overview of SSL presents state-of-the-art algorithms, a taxonomy of the field, selected applications, benchmark experiments, and perspectives on ongoing and future research.Semi- Supervised Learning first presents the key assumptions and ideas underlying the field: smoothness, cluster or low-density separation, manifold structure, and transduction. The core of the book is the presentation of SSL methods, organized according to algorithmic strategies. After an examination of generative models, the book describes algorithms that implement the low- density separation assumption, graph-based methods, and algorithms that perform two-step learning. The book then discusses SSL applications and offers guidelines for SSL practitioners by analyzing the results of extensive benchmark experiments. Finally, the book looks at interesting directions for SSL research. The book closes with a discussion of the relationship between semi-supervised learning and transduction.Olivier Chapelle and Alexander Zien are Research Scientists and Bernhard Schölkopf is Professor and Director at the Max Planck Institute for Biological Cybernetics in Tÿbingen. Schölkopf is coauthor of Learning with Kernels (MIT Press, 2002) and is a coeditor of Advances in Kernel Methods: Support Vector Learning (1998), Advances in Large- Margin Classifiers (2000), and Kernel Methods in Computational B iology (2004), all published by The MIT Press.</P

  • A Taxonomy of Emerging Multilinear Discriminant Analysis Solutions for Biometric Signal Recognition

    This chapter contains sections titled: Introduction Multilinear Basics Multilinear Discriminant Analysis Empirical Comparison of MLDA Variants on Face Recognition Conclusions Acknowledgments Appendix: Multilinear Decompositions References

  • Introduction

    This chapter contains sections titled: Definitions and Taxonomy, Opportunities and Advantages, A Short History, Elements of a Cluster, Description of the Book



Standards related to Taxonomy

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