Conferences related to Dictionaries

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2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Early Vision and Sensors Color, Illumination and Texture Segmentation and Grouping Motion and TrackingStereo and Structure from Motion Image -Based Modeling Physics -Based Modeling Statistical Methods and Learning in VisionVideo Surveillance and Monitoring Object, Event and Scene Recognition Vision - Based Graphics Image and Video RetrievalPerformance Evaluation Applications


2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


2018 25th IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE Signal Processing Society, is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. ICIP 2018, the 25th in the series that has been held annually since 1994, brings together leading engineers and scientists in image and video processing from around the world.


2018 26th European Signal Processing Conference (EUSIPCO)

Audio and acoustic signal processingSpeech and language processingImage and video processingMultimedia signal processingSignal processing theory and methodsSensor array and multichannel signal processingSignal processing for communicationsRadar and sonar signal processingSignal processing over graphs and networksNonlinear signal processingStatistical signal processingCompressed sensing and sparse modelingOptimization methodsMachine learningBio-medical image and signal processingSignal processing for computer vision and roboticsComputational imaging/ Spectral imagingInformation forensics and securitySignal processing for power systemsSignal processing for educationBioinformatics and genomicsSignal processing for big dataSignal processing for the internet of thingsDesign/implementation of signal processing systemsOther signal processing areas

  • 2017 25th European Signal Processing Conference (EUSIPCO)

    Audio and acoustic signal processingSpeech and language processingImage and video processingMultimedia signal processingSignal processing theory and methodsSensor array and multichannel signal processingSignal processing for communicationsRadar and sonar signal processingSignal processing over graphs and networksNonlinear signal processingStatistical signal processingCompressed sensing and sparse modelingOptimization methodsMachine learningBio-medical image and signal processingSignal processing for computer vision and roboticsInformation forensics and securitySignal processing for power systemsSignal processing for educationBioinformatics and genomicsSignal processing for big dataSignal processing for the internet of thingsDesign and implementation of signal processing systemsOther signal processing areas

  • 2016 24th European Signal Processing Conference (EUSIPCO)

    EUSIPCO is the flagship conference of the European Association for Signal Processing (EURASIP). The 24th edition will be held in Budapest, Hungary, from 29th August - 2nd September 2016. EUSIPCO 2016 will feature world-class speakers, oral and poster sessions, keynotes, exhibitions, demonstrations and tutorials and is expected to attract in the order of 600 leading researchers and industry figures from all over the world.

  • 2015 23rd European Signal Processing Conference (EUSIPCO)

    EUSIPCO is the flagship conference of the European Association for Signal Processing (EURASIP). The 23rd edition will be held in Nice, on the French Riviera, from 31st August - 4th September 2015. EUSIPCO 2015 will feature world-class speakers, oral and poster sessions, keynotes, exhibitions, demonstrations and tutorials and is expected to attract in the order of 600 leading researchers and industry figures from all over the world.

  • 2014 22nd European Signal Processing Conference (EUSIPCO)

    EUSIPCO is one of the largest international conferences in the field of signal processing and addresses all the latest developments in research and technology. The conference will bring together individuals from academia, industry, regulation bodies, and government, to discuss and exchange ideas in all the areas and applications of signal processing. The conference will feature world-class keynote speakers, special sessions, plenary talks, tutorials, and technical sessions.

  • 2013 21st European Signal Processing Conference (EUSIPCO)

    The EUSIPCO is organized by the European Association for Signal, Speech, and Image Processing (EURASIP). The focus will be on signal processing theory, algorithms, and applications.

  • 2012 20th European Signal Processing Conference

    The focus: signal processing theory, algorithms and applications. Papers will be accepted based on quality, relevance, and novelty and will be indexed in the main databases. Organizers: University POLITEHNICA of Bucharest and Telecom ParisTech.


2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP)

Theory, development, application and experience, gained through experimentation or reasoned analogies in information retrieval and knowledge management

  • 2016 Third International Conference on Information Retrieval and Knowledge Management (CAMP)

    Theory, development, application, and experience, gained through experimentation or reasoned analogies in information retrieval and knowledge management

  • 2012 International Conference on Information Retrieval & Knowledge Management (CAMP)

    INFORMATION RETRIEVAL IR Theory and Formal Models Cross-language retrieval, Multilingual retrieval, Machine translation for IR Web IR and Social media search Semi-structured information retrieval and Semantic search Interactive IR, Task-based IR User studies and models, User interfaces and visualization Multimedia IR KNOWLEDGE MANAGEMENT Knowledge engineering Digital Libraries, enterprise search, intranet search, and desktop search Social network Knowledge Intelligence Knowledge and privacy Knowledge synthesis and visualization Web and Social Knowledge Management Metadata and structured documents COMPUTATIONAL LINGUISTIC Text representation, text analysis, text summarization Collaborative filtering Text Categorization Text Clustering Question answering, Lexical acquisition Dialog System Machine Translation

  • 2010 International Conference on Information Retrieval & Knowledge Management (CAMP)

    CAMP'10 is an international scientific conference for research in the field of information retrieval and knowledge management. Information retrieval is the art and science of retrieving from a collection of items a subset that serves the user s purpose. While, knowledge management comprises a range of practices used in an organization to identify, create, represent, distribute and enable adoption of insights and experiences. The two areas intertwined as information retrieval provides means of knowledge i


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Periodicals related to Dictionaries

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


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.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


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Most published Xplore authors for Dictionaries

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Xplore Articles related to Dictionaries

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The 21st Century Engineer

[{u'author_order': 1, u'affiliation': u'US National Science Foundation', u'full_name': u'J. Bordogna'}] IEEE Spectrum, 2001

First Page of the Article ![](/xploreAssets/images/absImages/00893323.png)


Medical Ultrasonography Denoising Using Sparse Coding Shrinkage

[{u'author_order': 1, u'affiliation': u'Sch. of Autom., Huazhong Univ. of Sci. & Technol., Wuhan, China', u'full_name': u'Xi Chen'}, {u'author_order': 2, u'affiliation': u'Sch. of Autom., Huazhong Univ. of Sci. & Technol., Wuhan, China', u'full_name': u'Nong Sang'}, {u'author_order': 3, u'affiliation': u'Sch. of Autom., Huazhong Univ. of Sci. & Technol., Wuhan, China', u'full_name': u'Haitao Gan'}, {u'author_order': 4, u'affiliation': u'Sch. of Autom., Huazhong Univ. of Sci. & Technol., Wuhan, China', u'full_name': u'Zhiping Dan'}, {u'author_order': 5, u'affiliation': u'Sch. of Autom., Huazhong Univ. of Sci. & Technol., Wuhan, China', u'full_name': u'Yanfei Chen'}, {u'author_order': 6, u'affiliation': u'Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China', u'full_name': u'Hexing Ren'}] 2013 Seventh International Conference on Image and Graphics, None

A locally adaptive shrinkage Bayesian estimate for medical ultrasonography denoising is proposed by exploiting the correlation among image sparse coding. The Laplacian distribution is used to model the coding coefficients. The paper deduces the MAP estimate formula and adaptive threshold. Simulation experiments are carried out to show the effectiveness of the new method. Results demonstrate that compared with classical denoising ...


Human activity detection using sparse representation

[{u'author_order': 1, u'affiliation': u'Department of Computer and Information, Gannon University, Erie, PA 16541, USA', u'full_name': u'Dipti Killedar'}, {u'author_order': 2, u'affiliation': u'Department of Computer and Information, Gannon University, Erie, PA 16541, USA', u'full_name': u'Sreela Sasi'}] 2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), None

Human activity detection from videos is very challenging, and has got numerous applications in sports evalution, video surveillance, elder/child care, etc. In this research, a model using sparse representation is presented for the human activity detection from the video data. This is done using a linear combination of atoms from a dictionary and a sparse coefficient matrix. The dictionary is ...


A Fixed-Point Online Kernel Principal Component Extraction Algorithm

[{u'author_order': 1, u'affiliation': u'Department of Electronics and Computer Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil', u'full_name': u'Jo\xe3o B. O. Souza Filho'}, {u'author_order': 2, u'affiliation': u'Department of Electronics and Computer Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil', u'full_name': u'Paulo S. R. Diniz'}] IEEE Transactions on Signal Processing, 2017

Kernel principal component analysis (KPCA) is a powerful and widely applied nonlinear feature extraction technique. However, as originally proposed, KPCA may be cumbersome or infeasible in large-scale datasets, which motivated the development of low-complexity iterative extraction algorithms, mainly aiming image processing applications. Recently, some online KPCA extraction algorithms were proposed, but most of them suffer from low-convergence speed. This paper ...


An enquiring system of unknown words in TV news by spontaneous repetition (application of speaker normalization by speaker subspace projection)

[{u'author_order': 1, u'affiliation': u'Dept. of Electron. & Inf., Ryukoku Univ., Ohtsu, Japan', u'full_name': u'Y. Ariki'}, {u'author_order': 2, u'full_name': u'S. Tagashira'}] Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on, None

We have constructed a system in which we can enquire about unknown words included in TV news speech by repeating them spontaneously. For example, we might hear "Japan would join the PKO" from the TV news, and if "PKO" is an unknown word then we can enquire about it by saying "What is the PKO?" The system recognizes the word ...


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Educational Resources on Dictionaries

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IEEE-USA E-Books

  • Introduction to IMS

    This chapter contains sections titled: SIP in IMS General Architecture Session Control and Establishment in IMS

  • Anatomy of an Oracle Automatic Workload Repository (AWR) Report

  • Sound Field Analysis Using Sparse Recovery

    This chapter presents a fairly descriptive approach to the use of the sparse recovery method for sound field decomposition and focuses on the technique and its application. Plane‐wave decomposition is a powerful tool for sound field analysis, and the chapter describes the implementation and capabilities of a regularized iteratively reweighted least‐squares algorithm (IRLS) sparse‐recovery algorithm for plane‐wave decomposition. The trade‐off between increasing the resolution of the plane‐wave dictionary and having an increasingly under‐determined problem leads to consideration of sparse recovery methods. The chapter argues that the sparse‐recovery approach is advantageous because one tries to explain the sound field in terms of the fewest possible number of acoustic sources. With respect to sound field reproduction, the sparse recovery methods provide a means to identify audio objects and to upscale a sound scene to higher spherical harmonic order. Finally, the chapter explains classic plane‐wave decomposition problem.

  • Specialized Counting Machines

    This chapter describes machines used in the Testery, which were simpler than those in the Newmanry. Since the authors of the Report were more familiar with Newmanry machines, the account is sketchier than those of Newmanry machines. In addition, the specialized counting machines (Dragon, Aquarius, and Proteus) are further described in this chapter.

  • Appendixes B: AT Fax/Modem S-Registers

    This appendix contains sections titled: * General Information * Notes

  • Cross‐Language Information Retrieval

    This chapter contains sections titled: Introduction Major Approaches and Challenges in CLIR Identifying Translation Units Obtaining Translation Knowledge Using Translation Knowledge Interactivity in CLIR Evaluation of CLIR Systems Summary and Future Directions Exercises References

  • Appendixes A: AT Fax/Modem Commands

    This appendix contains sections titled: * Modem Commands * FAX Commands * Common FAX Commands * Class 1 FAX Commands * Class 2 FAX Commands

  • Channel and Noise Variance Estimation

    This chapter focuses on channel estimation within each received OFDM block. It treats sparse channel estimation for OFDM in both time‐invariant and time‐varying environments. It exploits the sparsity of underwater acoustic channels, a dictionary based formulation of the system input. An ICI‐ignorant sparse channel estimator and an ICI‐aware sparse channel estimator are derived for the single‐input channel. The chapter examines a variety of practical issues, such as dictionary construction and pilot design. It briefly talks about two typical sparse recovery algorithms. The sparse channel estimator for the single‐input channel is extended to the multi‐input channel, such as the multi‐input multi‐output (MIMO) channels where channel estimation is conducted at each receiving element individually. The chapter also discusses noise variance estimation and noise pre‐whitening in practical systems. The estimated noise variance could be used in both symbol detection and channel decoding.

  • Dethroning King Content

    Before product proficiency, instructors can move from a good training program to a great one, they must first dethrone King Content. The content makes the training unique. Therefore, instructors reason that the content makes their training valuable. The most important reason to put content in its proper place is to get it right. When content is the only important emphasis of the curriculum, instructors will make poor learning design decisions. This chapter helps the instructors to create the perfect curriculum and design the best learning. When content is king, and content and training are used interchangeably, it may become difficult to determine if training will solve the problem. Instructors' chosen product or technology is successful when it helps to solve a real, a perceived, or a potential problem. Its credibility will be destroyed, however, if it is unable to fix the problem it was designed to solve.

  • Introduction



Standards related to Dictionaries

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IEEE Standard for Digital Test Interchange Format (DTIF)

This standard will define the test program set data embodied in a number of ASCII files for stimulus, response, and diagnostics of digital systems for use on digital Automatic Test Systems.


IEEE Standard for Motor Vehicle Event Data Recorder (MVEDR)

Motor Vehicle Event Data Recorders (MVEDRs) collect, record, store and export data related to motor vehicle pre-defined events. This standard defines a protocol for MVEDR output data compatibility and export protocols of MVEDR data elements. This standard does not prescribe which specific data elements shall be recorded, or how the data are to be collected, recorded and stored. It is ...



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