Conferences related to Keyword search

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2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE)

ICSE is the premier forum for researchers to present and discuss the most recent innovations, trends, outcomes, experiences, and challenges in the field of software engineering. The scope is broad and includes all original and unpublished results of empirical, conceptual, experimental, and theoretical software engineering research.


2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


2019 Winter Simulation Conference (WSC)

WSC is the premier international forum for disseminating recent advances in the field of system simulation. In addition to a technical program of unsurpassed scope and quality, WSC provides the central meeting for practitioners, researchers, and vendors.


ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

ICASSP is the world’s largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class presentations by internationally renowned speakers, cutting-edge session topics and provide a fantastic opportunity to network with like-minded professionals from around the world.


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Periodicals related to Keyword search

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Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Computers, IEEE Transactions on

Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...


Information Forensics and Security, IEEE Transactions on

Research on the fundamental contributions and the mathematics behind information forensics, information seurity, surveillance, and systems applications that incorporate these features.


Intelligent Systems, IEEE

IEEE Intelligent Systems, a bimonthly publication of the IEEE Computer Society, provides peer-reviewed, cutting-edge articles on the theory and applications of systems that perceive, reason, learn, and act intelligently. The editorial staff collaborates with authors to produce technically accurate, timely, useful, and readable articles as part of a consistent and consistently valuable editorial product. The magazine serves software engineers, systems ...


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Most published Xplore authors for Keyword search

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Xplore Articles related to Keyword search

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Santa Monica Becomes An Electronic City

[{u'author_order': 1, u'authorUrl': u'https://ieeexplore.ieee.org/author/37972736900', u'full_name': u'S. Mayell', u'id': 37972736900}] Delicate Balance: Technics, Culture and Consequences, 1989

None


Efficient Keyword Search for SLCA in Parallel XML Databases

[{u'author_order': 1, u'authorUrl': u'https://ieeexplore.ieee.org/author/37535146500', u'full_name': u'Dejun Yue', u'id': 37535146500}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/37273278300', u'full_name': u'Ge Yu', u'id': 37273278300}, {u'author_order': 3, u'authorUrl': u'https://ieeexplore.ieee.org/author/38239541500', u'full_name': u'Jinshen Liu', u'id': 38239541500}, {u'author_order': 4, u'authorUrl': u'https://ieeexplore.ieee.org/author/37670877000', u'full_name': u'Tiancheng Zhang', u'id': 37670877000}, {u'author_order': 5, u'authorUrl': u'https://ieeexplore.ieee.org/author/37532595100', u'full_name': u'Tiezheng Nie', u'id': 37532595100}, {u'author_order': 6, u'authorUrl': u'https://ieeexplore.ieee.org/author/37652549800', u'full_name': u'FangFang Li', u'id': 37652549800}] 2011 Eighth Web Information Systems and Applications Conference, 2011

Keyword search is a wildly popular way for querying XML document. However, the increasing volume of XML data poses new challenges to keyword search processing. Parallel database is an efficient solution for this problem. In this paper, we study the problem of effective keyword search for SLCA (Smallest lower common ancestor) in parallel XML databases. We propose two efficient algorithm ...


Effective XML keyword query processing

[{u'author_order': 1, u'affiliation': u'Department of Computer Science and Engineering, Government College of Engineering, Amravati (MH) India', u'full_name': u'Prashant R. Lambole'}, {u'author_order': 2, u'affiliation': u'Department of Computer Science and Engineering, Government College of Engineering, Amravati (MH) India', u'full_name': u'Prashant N. Chatur'}] 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA), 2017

Keyword search query processing is considered as the most promising way of information retrieval over XML data in present days as it relieves user from understanding complex schemas of XML document and writing difficult queries using XPath and XQuery. Till date various query processing techniques have been proposed to get meaningful results through keyword search using LCA (Lowest Common Ancestor) ...


Research on Ontology-Based Semantic Similarity Computation

[{u'author_order': 1, u'authorUrl': u'https://ieeexplore.ieee.org/author/37538285900', u'full_name': u'Ye Zhang', u'id': 37538285900}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/37535104100', u'full_name': u'Zhan-lin Yu', u'id': 37535104100}] 2010 International Conference on Machine Vision and Human-machine Interface, 2010

This paper we present a method for computing similarity between different concepts. Ontology has the good hierarchical structure of concepts and the support of logical reasoning, and semantic information can be realized through the semantic relationship of concepts. Ontology technology can be well applied to information retrieval. Ontology-based information retrieval is different from the traditional keyword search. Semantic retrieval can ...


Privacy-Preserving Attribute-Based Keyword Search in Shared Multi-owner Setting

[{u'author_order': 1, u'affiliation': u'Department of Cyber Engineering, Xidian University, 47905 Xian, Shaanxi China (e-mail: ybmiao2017@163.com)', u'full_name': u'Yinbin Miao'}, {u'author_order': 2, u'affiliation': u'Department of Information Systems, Singapore Management University, 54756 Singapore, Singapore Singapore (e-mail: xmliu@163.com)', u'full_name': u'Ximeng Liu'}, {u'author_order': 3, u'affiliation': u'Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, Texas United States (e-mail: kkrchoo@163.com)', u'full_name': u'Kim-Kwang Raymond Choo'}, {u'author_order': 4, u'affiliation': u'Department of Information Systems, Singapore Management University, 54756 Singapore, Singapore Singapore (e-mail: robert@163.com)', u'full_name': u'Robert H. Deng'}, {u'author_order': 5, u'affiliation': u'College of Mathematics and Informatics, Fujian Normal University, 12425 Fuzhou, Fujian China (e-mail: jgli@163.com)', u'full_name': u'Jiguo Li'}, {u'author_order': 6, u'affiliation': u'Department of Computer Science and Engineering, University of Electronic Science and Technology of China, 12599 Chengdu, Sichuan China (e-mail: hwli@163.com)', u'full_name': u'Hongwei Li'}, {u'author_order': 7, u'affiliation': u'Department of Cyber Engineering, Xidian University, 47905 Xian, Shaanxi China (e-mail: jfma@163.com)', u'full_name': u'Jianfeng Ma'}] IEEE Transactions on Dependable and Secure Computing, None

Ciphertext-Policy Attribute-Based Keyword Search (CP-ABKS) facilitates search queries and supports fine-grained access control over encrypted data in the cloud. However, prior CP-ABKS schemes were designed to support unshared multi- owner setting, and cannot be directly applied in the shared multi-owner setting (where each record is accredited by a fixed number of data owners), without incurring high computational and storage costs. ...


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Educational Resources on Keyword search

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eLearning

No eLearning Articles are currently tagged "Keyword search"

IEEE-USA E-Books

  • Keyword Search in Databases

    It has become highly desirable to provide users with flexible ways to query/search information over databases as simple as keyword search like Google search. This book surveys the recent developments on keyword search over databases, and focuses on finding structural information among objects in a database using a set of keywords. Such structural information to be returned can be either trees or subgraphs representing how the objects, that contain the required keywords, are interconnected in a relational database or in an XML database. The structural keyword search is completely different from finding documents that contain all the user-given keywords. The former focuses on the interconnected object structures, whereas the latter focuses on the object content. The book is organized as follows. In Chapter 1, we highlight the main research issues on the structural keyword search in different contexts. In Chapter 2, we focus on supporting structural keyword search in a relational database management system using the SQL query language. We concentrate on how to generate a set of SQL queries that can find all the structural information among records in a relational database completely, and how to evaluate the generated set of SQL queries efficiently. In Chapter 3, we discuss graph algorithms for structural keyword search by treating an entire relational database as a large data graph. In Chapter 4, we discuss structural keyword search in a large tree-structured XML database. In Chapter 5, we highlight several interesting research issues regarding keyword search on databases. The book can be used as either an extended survey for people who are interested in the structural keyword search or a reference book for a postgraduate course on the related topics. Table of Contents: Introduction / Schema-Based Keyword Search on Relational Databases / Graph-Based Keyword Search / Keyword Search in XML Databases / Other Topics for Keyword Search on Databases

  • From Keyword Search to Exploration: Designing Future Search Interfaces for the Web

    To support researchers and designers in synthesizing and understanding the advances in search, this monograph offers a structured means to think about web search result visualization, based on an inclusive model of search that integrates information retrieval, information seeking and a higher level context of tasks and goals. We examine each of these levels of search in a survey of advances in browsers and related tools by defining search-related cognitive processes and analyzing innovative design approaches. We then discuss evaluations at each of these levels of search, presenting significant results and identifying both the traditional and novel means used to produce them. Based on this examination, we propose a taxonomy of search result visualization techniques that can be used to identify gaps for future research and as a reference for designers of next generation web search systems.

  • Spatial Data Management

    Spatial database management deals with the storage, indexing, and querying of data with spatial features, such as location and geometric extent. Many applications require the efficient management of spatial data, including Geographic Information Systems, Computer Aided Design, and Location Based Services. The goal of this book is to provide the reader with an overview of spatial data management technology, with an emphasis on indexing and search techniques. It first introduces spatial data models and queries and discusses the main issues of extending a database system to support spatial data. It presents indexing approaches for spatial data, with a focus on the R-tree. Query evaluation and optimization techniques for the most popular spatial query types (selections, nearest neighbor search, and spatial joins) are portrayed for data in Euclidean spaces and spatial networks. The book concludes by demonstrating the ample application of spatial data management technology on a wide range of related application domains: management of spatio-temporal data and high-dimensional feature vectors, multi-criteria ranking, data mining and OLAP, privacy-preserving data publishing, and spatial keyword search. Table of Contents: Introduction / Spatial Data / Indexing / Spatial Query Evaluation / Spatial Networks / Applications of Spatial Data Management Technology



Standards related to Keyword search

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Jobs related to Keyword search

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