Extrapolation

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In mathematics, extrapolation is the process of constructing new data points . (Wikipedia.org)






Conferences related to Extrapolation

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ICASSP 2017 - 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.

  • ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

    The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.

  • ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

    ICASSP 2014 will be the world s largest and most comprehensive technical conference focused on the many facets of signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and oral/poster sessions on the most up-to-date topics in signal processing research.

  • ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

    The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.

  • ICASSP 2012 - 2012 IEEE International Conference on Acoustics, Speech and Signal Processing

    The latest research results on both theories and applications on signal processing will be presented and discussed among participants from all over the world. Video/Speech Signal processing used in human interface between Robots and Personal users will be highlighted.

  • ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

    The ICASSP meeting is the world s largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions on: Audio and electroacoustics Bio imaging and signal processing Design and implementation of signal processing systems Image and multidimensional signal processing Industry technology tracks Information forensics and security.

  • ICASSP 2010 - 2010 IEEE International Conference on Acoustics, Speech and Signal Processing

    TBA

  • ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing

    The 34th ICASSP will be held in Taiwan April 19-24, 2009. The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.

  • ICASSP 2008 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing


2013 IEEE 77th Vehicular Technology Conference (VTC Spring)

VTC will bring together individuals from academia, industry and government to discuss and exchange ideas in the fields of mobile, wireless and vehicular technology as well as the applications and services associated with such technology. Features include world-class plenary speakers, panel sessions, tutorials, and both technical and application-based sessions.


2012 IEEE 12th International Conference on Data Mining (ICDM)

ICDM has established itself as the world's premier research conference in data mining covering all aspects of data mining in a wide range related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge-based systems, and high performance computing.

  • 2011 IEEE 11th International Conference on Data Mining (ICDM)

    The conference provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences. It covers all aspects of data mining and draws researchers and application developers from a wide range of data mining related areas.

  • 2010 IEEE 10th International Conference on Data Mining (ICDM)

    The IEEE International Conference on Data Mining (ICDM) has established itself as the world's premier research conference in data mining. The 10th edition of ICDM (ICDM '10) provides a leading forum for presentation of original research results, as well as exchange and dissemination of innovative,practical development experiences. The conference covers all aspects of data mining, including algorithms, software and systems, and applications

  • 2009 IEEE International Conference on Data Mining (ICDM)

    The conference covers all aspects of data mining, including algorithms, software and systems, and applications. In addition, ICDM draws researchers and application developers from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge-based systems, and high performance computing.

  • 2008 IEEE International Conference on Data Mining (ICDM)

    Conference covers all aspects of data mining,algorithms,software & systems, and applications.ICDM draws researchers and application developers from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge-based systems, and high performance computing.

  • 2007 IEEE International Conference on Data Mining (ICDM)

  • 2006 IEEE International Conference on Data Mining (ICDM)


2012 IEEE 13th International Conference on Information Reuse & Integration (IRI)

Given volumes of information in digital form, we are constantly faced with new challenges with regards to efficiently using it and extracting useful knowledge from it. Information reuse and integration (IRI) seeks to maximally exploit such available information to create new knowledge and to reuse it for addressing newer challenges. It plays a pivotal role in the capture, maintenance, integration, validation, extrapolation, and application of knowledge to augment human decision -making capabilities.

  • 2011 IEEE International Conference on Information Reuse & Integration (IRI)

    Given volumes of information in digital form, we are constantly faced with new challenges with regards to efficiently using it and extracting useful knowledge from it. Information reuse and integration (IRI) seeks to maximally exploit such available information to create new knowledge and to reuse it for addressing newer challenges. It plays a pivotal role in the capture, maintenance, integration, validation, extrapolation, and application of knowledge to augment human decision -making capabilities.

  • 2010 IEEE International Conference on Information Reuse & Integration (2010 IRI)

    Given volumes of information in digital form, we are constantly faced with new challenges with regards to efficiently using it and extracting useful knowledge from it. Information reuse and integration (IRI) seeks to maximally exploit such available information to create new knowledge and to reuse it for addressing newer challenges. It plays a pivotal role in the capture, maintenance, integration, validation, extrapolation, and application of knowledge to augment human decision -making capabilities.

  • 2009 IEEE International Conference on Information Reuse & Integration (2009 IRI)

    Given volumes of information in digital form, we are constantly faced with new challenges with regards to efficiently using it and extracting useful knowledge from it. Information reuse and integration (IRI) seeks to maximally exploit such available information to create new knowledge and to reuse it for addressing newer challenges. It plays a pivotal role in the capture, maintenance, integration, validation, extrapolation, and application of knowledge to augment human decision-making capabilities in variou

  • 2008 IEEE International Conference on Information Reuse & Integration (2008 IRI)

    The increasing volumes and dimensions of information dramatically impact on effective decision-making. To remedy this situation, Information Reuse and Integration (IRI) seeks to maximize the reuse of information by creating simple, rich, and reusable knowledge representations and consequently explore strategies for integrating this knowledge into legacy systems. IRI plays a pivotal role to capture, represent, maintain, integrate, validate, extrapolate, and apply both information and knowledge for enhancing

  • 2007 IEEE International Conference on Information Reuse & Integration (2007 IRI)

    Given volumes of information in digital form, we are constantly faced with new challenges with regards to efficiently using it and extracting useful knowledge from it. Information reuse and integration (IRI) seeks to maximally exploit such available information to create new knowledge and to reuse it for addressing newer challenges. It plays a pivotal role in the capture, maintenance, integration, validation, extrapolation, and application of knowledge to augment human decision-making.


2010 4th International Conference on Intelligent Information Technology Application (IITA)

IITA 2010 provides a forum for engineers and scientists in academia, university and industry to present their latest research findings in any aspects of intelligent information technology

  • 2009 Third International Symposium on Intelligent Information Technology Application (IITA)

    IITA 2009 provides a forum for engineers and scientists in academia, university and industry to present their latest research findings in any aspects of intelligent information technology. This year, we especially encourage papers on machine learning, signal Processing, communication Systems, circuits and Systems etc. We also welcome papers that highlight successful modern applications of Intelligent Information Technology, such as Multimedia ,Bioinformatics, Power, Neural Systems, Control and so on



Periodicals related to Extrapolation

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Signal Processing Letters, IEEE

Rapid dissemination of new results in signal processing world-wide.


Signal Processing, IEEE Transactions on

The technology of transmission, recording, reproduction, processing, and measurement of speech; other audio-frequency waves and other signals by digital, electronic, electrical, acoustic, mechanical, and optical means; the components and systems to accomplish these and related aims; and the environmental, psychological, and physiological factors of thesetechnologies.




Xplore Articles related to Extrapolation

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Drain-Source Symmetric Artificial Neural Network-Based FET Model with Robust Extrapolation Beyond Training Data

Jianjun Xu; Daniel Gunyan; Masaya Iwamoto; Jason M. Horn; Alex Cognata; David E. Root 2007 IEEE/MTT-S International Microwave Symposium, 2007

A large-signal FET model based on artificial neural networks (ANNs) is extended for rigorous intrinsic drain-source symmetry and robust extrapolation beyond the range of training data. Enhanced ANN architectures and training algorithms constrain the five nonlinear model state functions to transform according to the discrete symmetry rules related to the device invariance with respect to intrinsic drain-source exchange. This extends ...


Optimal finite-difference sub-gridding techniques applied to the Helmholtz equation

J. W. Nehrbass; R. Lee IEEE Transactions on Microwave Theory and Techniques, 2000

Since the spatial resolution of a uniform grid determines in part the accuracy of a given simulation, it must be judiciously chosen. In some small region of the computation domain, a fine grid density may be needed, while in the remainder of the domain, a coarser grid is acceptable. It would be preferable if a coarse resolution could be used ...


Reliable Effects Screening: A Distributed Continuous Quality Assurance Process for Monitoring Performance Degradation in Evolving Software Systems

Cemal Yilmaz; Adam Porter; Arvind S. Krishna; Atif M. Memon; Douglas C. Schmidt; Aniruddha S. Gokhale; Balachandran Natarajan IEEE Transactions on Software Engineering, 2007

Developers of highly configurable performance-intensive software systems often use in-house performance-oriented "regression testing" to ensure that their modifications do not adversely affect their software's performance across its large configuration space. Unfortunately, time and resource constraints can limit in-house testing to a relatively small number of possible configurations, followed by unreliable extrapolation from these results to the entire configuration space. As ...


Application of a Variation-Iteration Method to Inhomogeneously Loaded Waveguides

A. S. Vander Vorst; R. J. M. Govaerts IEEE Transactions on Microwave Theory and Techniques, 1970

An approximate technique for eigenvalue equations, the variation-iteration method, is commonly used in theoretical physics. Through an adequate numerical treatment it reduces to the inverse iteration method. It is shown here that this technique is most promising. Starting from an initial trial function, iterates are calculated, in which the components relative to the unwanted true eigenfunctions are eliminated. Both an ...


PCA-based walking engine using motion capture data

P. Glardon; R. Boulic; D. Thalmann Proceedings Computer Graphics International, 2004., 2004

This paper aims to propose a novel approach to generate new generic human walking patterns using motion-captured data, leading to a real-time engine intended for virtual humans animation. The method applies the PCA (principal component analysis) technique on motion data acquired by an optical system to yield a reduced dimension space where not only interpolation, but also extrapolation are possible, ...


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Educational Resources on Extrapolation

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eLearning

Drain-Source Symmetric Artificial Neural Network-Based FET Model with Robust Extrapolation Beyond Training Data

Jianjun Xu; Daniel Gunyan; Masaya Iwamoto; Jason M. Horn; Alex Cognata; David E. Root 2007 IEEE/MTT-S International Microwave Symposium, 2007

A large-signal FET model based on artificial neural networks (ANNs) is extended for rigorous intrinsic drain-source symmetry and robust extrapolation beyond the range of training data. Enhanced ANN architectures and training algorithms constrain the five nonlinear model state functions to transform according to the discrete symmetry rules related to the device invariance with respect to intrinsic drain-source exchange. This extends ...


Optimal finite-difference sub-gridding techniques applied to the Helmholtz equation

J. W. Nehrbass; R. Lee IEEE Transactions on Microwave Theory and Techniques, 2000

Since the spatial resolution of a uniform grid determines in part the accuracy of a given simulation, it must be judiciously chosen. In some small region of the computation domain, a fine grid density may be needed, while in the remainder of the domain, a coarser grid is acceptable. It would be preferable if a coarse resolution could be used ...


Reliable Effects Screening: A Distributed Continuous Quality Assurance Process for Monitoring Performance Degradation in Evolving Software Systems

Cemal Yilmaz; Adam Porter; Arvind S. Krishna; Atif M. Memon; Douglas C. Schmidt; Aniruddha S. Gokhale; Balachandran Natarajan IEEE Transactions on Software Engineering, 2007

Developers of highly configurable performance-intensive software systems often use in-house performance-oriented "regression testing" to ensure that their modifications do not adversely affect their software's performance across its large configuration space. Unfortunately, time and resource constraints can limit in-house testing to a relatively small number of possible configurations, followed by unreliable extrapolation from these results to the entire configuration space. As ...


Application of a Variation-Iteration Method to Inhomogeneously Loaded Waveguides

A. S. Vander Vorst; R. J. M. Govaerts IEEE Transactions on Microwave Theory and Techniques, 1970

An approximate technique for eigenvalue equations, the variation-iteration method, is commonly used in theoretical physics. Through an adequate numerical treatment it reduces to the inverse iteration method. It is shown here that this technique is most promising. Starting from an initial trial function, iterates are calculated, in which the components relative to the unwanted true eigenfunctions are eliminated. Both an ...


PCA-based walking engine using motion capture data

P. Glardon; R. Boulic; D. Thalmann Proceedings Computer Graphics International, 2004., 2004

This paper aims to propose a novel approach to generate new generic human walking patterns using motion-captured data, leading to a real-time engine intended for virtual humans animation. The method applies the PCA (principal component analysis) technique on motion data acquired by an optical system to yield a reduced dimension space where not only interpolation, but also extrapolation are possible, ...


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IEEE-USA E-Books

  • Miscellaneous Problems Encompassed by the Technique of this Book

    This chapter contains sections titled: 5.0 The Problem of Approximate Differentiation, 5.1 An Example of Approximate Differentiation, 5.2 A Misleading Example of Approximate Differentiation, 5.3 Interpolation and Extrapolation

  • The Linear Predictor for a Single Time Series

    This chapter contains sections titled: 2.01 Formulation of the Problem of the Linear Predictor, 2.02 The Minimization Problem, 2.03 The Factorization Problem, 2.04 The Predictor Formula, 2.1 Examples of Prediction, 2.2 A Limiting Example of Prediction, 2.3 The Prediction of Functions Whose Derivatives Possess Auto-correlation Coefficients, 2.4 Spectrum Lines and Non- absolutely Continuous Spectra, 2.5 Prediction by the Linear Combination of Given Operators, 2.6 The Linear Predictor for a Discrete Time Series

  • Table of the Laguerre Functions

    It has been the opinion of many that Wiener will be remembered for his Extrapolation long after Cybernetics is forgotten. Indeed few computer-science students would know today what cybernetics is all about, while every communication student knows what Wiener's filter is. The work was circulated as a classified memorandum in 1942, as it was connected with sensitive war- time efforts to improve radar communication. This book became the basis for modern communication theory, by a scientist considered one of the founders of the field of artifical intelligence. Combining ideas from statistics and time- series analysis, Wiener used Gauss's method of shaping the characteristic of a detector to allow for the maximal recognition of signals in the presence of noise. This method came to be known as the "Wiener filter."

  • Dynamic Charge Storage in 6H Silicon Cartnde

    pn-junction storage capacitors have been fabricated in 6H silicon carbide. The charge decay is dominated by surface generation at the mesa edges, and the storage time strongly depends on the method of surface passivation. Charge recovery is thermally activated. Devices passivated by dry oxidation and by wet oxidation exhibit activation energies of 0.66 and 1.48 eV, respectively. As a figure of merit, extrapolation of the dry-oxide data gives a room- temperature storage time of 106 s, while extrapolation of the wet-oxide data gives a room-temperature storage time of 1014 s.

  • Effects of Melting on Faulting and Continental Deformation

    The presence of melt is closely related to the localization of deformation in faults and shear zones in a variety of tectonic settings. This relationship is observed on length scales from the outcrop to plate boundary faults to orogens. However, the question of whether melting induces localization, or localization creates a pathway for melts, can rarely be answered from field observations alone. Experimental studies show that rock strength decreases exponentially with increasing volume percentage of melt. This suggests that melting facilitates strain localization where deformation would be homogeneous in the absence of melt. Yet, the extrapolation of experimental relationships between rock strength and melt content to natural conditions at depth in the lithosphere remains speculative, largely because the grain-scale processes underlying dramatic weakening at small amounts of melt have yet to be investigated in crustal rocks. New geochronological methods for dating minerals that crystallized during deformation in the presence of melt have the potential to constrain the time lag between the onset of melting and deformation in naturally deformed anatectic rocks. An indirect, but clear answer to the question of whether melting induces strain localization on a regional scale comes from numerical models of orogenesis which can be run in the presence or absence of low-viscosity domains that approximate the mechanical behavior of partially melted rock. These models show that melting induces lateral flow of anatectic crust within horizontal channels usually situated at the base of the continental crust. These channels have strong vertical strain gradients, especially at their boundaries where shear zones accommodate lateral extrusion of the anatectic rock in between. Together with their bounding shear zones, these flow channels form a new class of faults, which we term " ;extrusional faults." Extrusional faults containing long-lived melt (tens of millions of years) can support large, broadly distributed topographic loads such as orogenic plateaus and can exhume deeply buried rocks from beneath orogens. In contrast, strike-slip and oblique-slip faults serve as steep conduits for the rapid ascent, differentiation, and crystallization of melt. The relatively short residence time of melts in such moderately to steeply dipping fault systems can lead to episodic motion, with long periods of creep punctuated by shorter periods of melt veining, magmatic activity, and/or faster slip.

  • Practical Aspects of Active Automata Learning

    This chapter contains sections titled: Introduction Regular Extrapolation Challenges in Regular Extrapolation Interacting with Real Systems Membership Queries Reset Parameters and Value Domains The NGLL Conclusion and Perspectives References

  • The Linear Filter for a Single Time Series

    This chapter contains sections titled: 3.0 Formulation of the General Filter Problem, 3.1 Minimization Problem for Filters, 3.2 The Factorization of the Spectrum, 3.3 Prediction and Filtering, 3.4 The Error of Performance of a Filter; Long-lag Filters, 3.5 Fillers and Ergodic Theory, 3.6 Computation of Specific Filter Characteristics, 3.7 Lagging Filters, 3.8 The Determination of Lag and Number of Meshes in a Filter, 3.9 Detecting Filters for High Noise Level, 3.91 Filters for Pulses, 3.92 Filters Having Characteristics Linearly Dependent on Given Charaderistics, 3.93 Computation of Filter: Resume

  • Introduction

    This chapter contains sections titled: 0.1 The Purpose of This Book, 0.2 Time Series, 0.3 Communication Engineering, 0.4 Techniques of Time Series and Communication Engineering Contrasted, 0.41 The Ensemble, 0.42 Correlation, 0.43 The Periodogram, 0.44 Operational Calculus, 0.45 The Fourier Integral; Need of the Complex Plane, 0.5 Time Series and Communication Engineering--The Synthesis, 0.51 Prediction, 0.52 Filtering, 0.53 Policy Problems, 0.6 Permissible Operators: Translation Group in Time, 0.61 Past and Future, 0.62 Subclasses of Operators, 0.7 Norms and Minimization, 0.71 The Calculus of Variations, 0.8 Ergodic Theory, 0.81 Brownian Motion, 0.9 Summary of Chapters

  • The Wiener RMS (Root Mean Square) Error Criterion in Filter Design and Prediction

    This chapter contains sections titled: 1 Linear Filters, 2 Minimization of RMS Error, 3 Determination of the Weighting Function, 4 Realization of Operator-- Mathematical Formulation, 5 RC Filter, 6 Prediction and Lag with and without Noise

  • Index

    It has been the opinion of many that Wiener will be remembered for his Extrapolation long after Cybernetics is forgotten. Indeed few computer-science students would know today what cybernetics is all about, while every communication student knows what Wiener's filter is. The work was circulated as a classified memorandum in 1942, as it was connected with sensitive war- time efforts to improve radar communication. This book became the basis for modern communication theory, by a scientist considered one of the founders of the field of artifical intelligence. Combining ideas from statistics and time- series analysis, Wiener used Gauss's method of shaping the characteristic of a detector to allow for the maximal recognition of signals in the presence of noise. This method came to be known as the "Wiener filter."



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