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

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  • 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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Preliminary design of high temperature lithium-lead blanket with SiC cooling panel

M. Ichinose; Y. Yamamoto; K. Noborio; Y. Takeuchi; S. Konishi 2009 23rd IEEE/NPSS Symposium on Fusion Engineering, 2009

A high temperature lithium-lead blanket, which can be made within a limited extrapolations of present technology, has been proposed. The blanket structure is based on F82H as vessel material, and Pb-17Li as breeder. SiCf/SiC cooling panel is inserted between them to achieve high temperature extraction of Pb- 17Li while maintaining F82H under allowable temperature limit. Neutronic analysis using ANISN code ...


Cardiac risk assessment based on QTc speculation and trending from past references

Thomas Ho Chee Tat; Chen Xiang 2011 Computing in Cardiology, 2011

A method to construct a predictive time series index based on QTc-intervals is proposed in this paper. Monitored electrocardiography (ECG) data is converted into a root mean square of successive difference (RMSSD) trend-line by first finding the QT intervals [1] and then using [2]. The trend-line is then used as a priori in extrapolating the predictive trend. The next unknown ...


Direct far-field GO synthesis of single-reflector antennas using the extrapolation technique

C. S. Lee Antennas and Propagation Society International Symposium, 1989. AP-S. Digest, 1989

The application of an extrapolation technique developed by the author (1987) to the direct GO (geometrical optics) synthesis of single-reflector antennas is described. The technique is simple and easily applicable to an arbitrary beam shape. The technique is basically similar to that of dual-reflector shaping, except that only the amplitude of the far field is satisfied within the GO approximation. ...


Distributed adaptive compressed video sensing using smoothed projected landweber reconstruction

Li Ran; Gan Zongliang; Cui Ziguan; Wu Minghu; Zhu Xiuchang China Communications, 2013

A novel Compressed-Sensing-based (CS-based) Distributed Video Coding (DVC) system, called Distributed Adaptive Compressed Video Sensing (DISACOS), is proposed in this paper. In this system, the input frames are divided into key frames and non-key frames, which are encoded by block CS sampling. The key frames are encoded as CS measurements at substantially higher rates than the non-key frames and decoded ...


Learning one-counter languages in polynomial time

Piotr Berman; Robert Roos Foundations of Computer Science, 1987., 28th Annual Symposium on, 1987

We demonstrate that the class of languages accepted by deterministic one- counter machines, or DOCAs (a natural subset of the context-free languages), is learnable in polynomial time. Our learning protocol is based upon Angluin's concept of a "minimally adequate teacher" who can answer membership queries about a concept and provide counterexamples to incorrect hypothesized concepts. We also demonstrate that the ...


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Educational Resources on Extrapolation

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eLearning

Preliminary design of high temperature lithium-lead blanket with SiC cooling panel

M. Ichinose; Y. Yamamoto; K. Noborio; Y. Takeuchi; S. Konishi 2009 23rd IEEE/NPSS Symposium on Fusion Engineering, 2009

A high temperature lithium-lead blanket, which can be made within a limited extrapolations of present technology, has been proposed. The blanket structure is based on F82H as vessel material, and Pb-17Li as breeder. SiCf/SiC cooling panel is inserted between them to achieve high temperature extraction of Pb- 17Li while maintaining F82H under allowable temperature limit. Neutronic analysis using ANISN code ...


Cardiac risk assessment based on QTc speculation and trending from past references

Thomas Ho Chee Tat; Chen Xiang 2011 Computing in Cardiology, 2011

A method to construct a predictive time series index based on QTc-intervals is proposed in this paper. Monitored electrocardiography (ECG) data is converted into a root mean square of successive difference (RMSSD) trend-line by first finding the QT intervals [1] and then using [2]. The trend-line is then used as a priori in extrapolating the predictive trend. The next unknown ...


Direct far-field GO synthesis of single-reflector antennas using the extrapolation technique

C. S. Lee Antennas and Propagation Society International Symposium, 1989. AP-S. Digest, 1989

The application of an extrapolation technique developed by the author (1987) to the direct GO (geometrical optics) synthesis of single-reflector antennas is described. The technique is simple and easily applicable to an arbitrary beam shape. The technique is basically similar to that of dual-reflector shaping, except that only the amplitude of the far field is satisfied within the GO approximation. ...


Distributed adaptive compressed video sensing using smoothed projected landweber reconstruction

Li Ran; Gan Zongliang; Cui Ziguan; Wu Minghu; Zhu Xiuchang China Communications, 2013

A novel Compressed-Sensing-based (CS-based) Distributed Video Coding (DVC) system, called Distributed Adaptive Compressed Video Sensing (DISACOS), is proposed in this paper. In this system, the input frames are divided into key frames and non-key frames, which are encoded by block CS sampling. The key frames are encoded as CS measurements at substantially higher rates than the non-key frames and decoded ...


Learning one-counter languages in polynomial time

Piotr Berman; Robert Roos Foundations of Computer Science, 1987., 28th Annual Symposium on, 1987

We demonstrate that the class of languages accepted by deterministic one- counter machines, or DOCAs (a natural subset of the context-free languages), is learnable in polynomial time. Our learning protocol is based upon Angluin's concept of a "minimally adequate teacher" who can answer membership queries about a concept and provide counterexamples to incorrect hypothesized concepts. We also demonstrate that the ...


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