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 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.


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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Efficient scattering parameter modeling of a microwave transistor using Generalized Regression Neural Network

Mahouti, P.; Gunes, F.; Demirel, S.; Uluslu, A.; Ali Belen, M. Microwaves, Radar, and Wireless Communication (MIKON), 2014 20th International Conference on, 2014

In this paper, a simple, accurate, fast and reliable black-box modeling is presented for the Scattering (S-) parameters of a microwave transistor from the reduced amount of the discrete data using General Regression Neural Network (GRNN). GRNN is a probability- based Neural Network and has been used in the generalization applications in the cases of the existence of the poor ...


Towards adaptive interpolative reasoning

Longzhi Yang; Qiang Shen Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on, 2009

Fuzzy interpolative reasoning has been extensively studied due to its ability to enhance the robustness of fuzzy systems and to reduce system complexity. However, during the interpolation process, it is possible that multiple object values for a common variable are inferred which may lead to inconsistency in interpolated results. Such inconsistencies may result from defective interpolated rules or incorrect interpolative ...


Algorithmic Trading Using Phase Synchronization

Ahrabian, A.; Took, C.C.; Mandic, D.P. Selected Topics in Signal Processing, IEEE Journal of, 2012

A novel trading algorithm which performs trading decisions by making use of phase synchronization between oscillatory components of asset pairs is proposed. This way the phase information ascertains a leading asset, which is then used to predict the lagging asset. The oscillatory components of asset pairs are identified using the Synchrosqueezed Transform (SST), which facilitates stable and online implementation. The ...


FDTD analysis of active circuits based on the S-parameters [microwave hybrid ICs]

Jiazong Zhang; Yunyi Wang Microwave Conference Proceedings, 1997. APMC '97, 1997 Asia-Pacific, 1997

This paper describes a S-parameter-based formulation of the extended finite- difference time-domain algorithm for the purpose of modeling microwave devices. In the active region the Maxwell equations are coupled with an active device model which simulates the equivalent current source. The S-parameters of active devices are treated by extrapolation method and even conjugate continuation, and then expressed in time domain ...


A frequency domain weighting function approach to extrapolation

Thompson, P.J.; Manry, M.T. Acoustics, Speech and Signal Processing, IEEE Transactions on, 1990

A new extrapolation algorithm has been developed which is linear, noise tolerant, and computationally efficient. A bandwidth measure is defined in terms of a general frequency weighting function, and the extrapolated signal is calculated as the signal that minimizes this measure. The minimization involves the solution of a Toeplitz set of linear equations. Several properties of this technique are developed ...


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