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Proceedings of the IEEE

Issue 9 • Sept. 2012

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Displaying Results 1 - 20 of 20
  • [Front cover]

    Publication Year: 2012, Page(s): C1
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  • Proceedings of the IEEE publication information

    Publication Year: 2012, Page(s): C2
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  • Web-Scale Multimedia Processing and Applications

    Publication Year: 2012, Page(s):2573 - 2574
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  • Back to the Future [Point of View]

    Publication Year: 2012, Page(s):2575 - 2579
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  • Web-Scale Multimedia Processing and Applications [Scanning the Issue]

    Publication Year: 2012, Page(s):2580 - 2583
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  • Recent Advances of Large-Scale Linear Classification

    Publication Year: 2012, Page(s):2584 - 2603
    Cited by:  Papers (60)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (774 KB) | HTML iconHTML

    Linear classification is a useful tool in machine learning and data mining. For some data in a rich dimensional space, the performance (i.e., testing accuracy) of linear classifiers has shown to be close to that of nonlinear classifiers such as kernel methods, but training and testing speed is much faster. Recently, many research works have developed efficient optimization methods to construct lin... View full abstract»

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  • Optimal Parameters for Locality-Sensitive Hashing

    Publication Year: 2012, Page(s):2604 - 2623
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1511 KB) | HTML iconHTML

    Locality-sensitive hashing (LSH) is the basis of many algorithms that use a probabilistic approach to find nearest neighbors. We describe an algorithm for optimizing the parameters and use of LSH. Prior work ignores these issues or suggests a search for the best parameters. We start with two histograms: one that characterizes the distributions of distances to a point's nearest neighbors and the se... View full abstract»

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  • Robust and Scalable Graph-Based Semisupervised Learning

    Publication Year: 2012, Page(s):2624 - 2638
    Cited by:  Papers (52)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1927 KB) | HTML iconHTML

    Graph-based semisupervised learning (GSSL) provides a promising paradigm for modeling the manifold structures that may exist in massive data sources in high-dimensional spaces. It has been shown effective in propagating a limited amount of initial labels to a large amount of unlabeled data, matching the needs of many emerging applications such as image annotation and information retrieval. In this... View full abstract»

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  • A Framework for Classifier Adaptation for Large-Scale Multimedia Data

    Publication Year: 2012, Page(s):2639 - 2657
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2623 KB) | HTML iconHTML

    Machine learning techniques have been used extensively to build models for the analysis and retrieval of multimedia data. The explosion of multimedia data on the Web poses a great challenge to such techniques not simply because of the sheer data volume, but also because of the heterogeneity of the data. With data from a wide variety of domains, models trained from one domain do not generalize well... View full abstract»

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  • Uncertainty Reduction for Knowledge Discovery and Information Extraction on the World Wide Web

    Publication Year: 2012, Page(s):2658 - 2674
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2495 KB) | HTML iconHTML

    In this paper, we give an overview of knowledge discovery (KD) and information extraction (IE) techniques on the World Wide Web (WWW). We intend to answer the following questions: What kind of additional uncertainty challenges are introduced by the WWW setting to basic KD and IE techniques? What are the fundamental techniques that can be used to reduce such uncertainty and achieve reasonable KD an... View full abstract»

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  • Statistical Entity Extraction From the Web

    Publication Year: 2012, Page(s):2675 - 2687
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (958 KB) | HTML iconHTML

    There are various kinds of valuable semantic information about real-world entities embedded in webpages and databases. Extracting and integrating these entity information from the Web is of great significance. Comparing to traditional information extraction problems, web entity extraction needs to solve several new challenges to fully take advantage of the unique characteristic of the Web. In this... View full abstract»

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  • Web-Scale Multimedia Information Networks

    Publication Year: 2012, Page(s):2688 - 2704
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2415 KB) | HTML iconHTML

    The abundance of multimedia data on the Web presents both challenges (how to annotate, search, and mine) and opportunities (crawling the Web to create large structured multimedia data bases which can be used to do inference effectively). Because of the huge data volume, considering all semantic concepts as on the same (flat) level is not viable. In this paper, we introduce a unified STRUCTURED rep... View full abstract»

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  • Duplicate-Search-Based Image Annotation Using Web-Scale Data

    Publication Year: 2012, Page(s):2705 - 2721
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2805 KB) | HTML iconHTML

    Easy photo-taking and photo-sharing today make image an increasingly important type of media in people's everyday life, which arouses a growing demand for a practical image understanding technique. Traditional computer vision or machine learning methods which learn models based on a set of training data are still in the stage of tackling hundreds of object categories. Such a scale is far from prac... View full abstract»

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  • Web-Scale Media Recommendation Systems

    Publication Year: 2012, Page(s):2722 - 2736
    Cited by:  Papers (12)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1557 KB) | HTML iconHTML

    Modern consumers are inundated with choices. A variety of products are offered to consumers, who have unprecedented opportunities to select products that meet their needs. The opportunity for selection also presents a time-consuming need to select. This has led to the development of recommender systems that direct consumers to products expected to satisfy them. One area in which such systems are p... View full abstract»

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  • Multimedia Semantics: Interactions Between Content and Community

    Publication Year: 2012, Page(s):2737 - 2758
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1537 KB) | HTML iconHTML

    This paper reviews the state of the art and some emerging issues in research areas related to pattern analysis and monitoring of web-based social communities. This research area is important for several reasons. First, the presence of near-ubiquitous low-cost computing and communication technologies has enabled people to access and share information at an unprecedented scale. The scale of the data... View full abstract»

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  • Social Network Analysis in Enterprise

    Publication Year: 2012, Page(s):2759 - 2776
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2299 KB) | HTML iconHTML

    Social network analysis (SNA) has been a research focus in multiple disciplines for decades, including sociology, healthcare, business management, etc. Traditional SNA researches concern more human and social science aspects—trying to undermine the real relationship of people and the impacts of these relationships. While online social networks have become popular in recent years, social med... View full abstract»

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  • Proceedings of the IEEE Through 100 Years: 1980-1989 [Scanning Our Past]

    Publication Year: 2012, Page(s):2777 - 2783
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    Discusses the beginning and growth of the Proceedings of the IEEE over the past century. View full abstract»

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  • Future Special Issues/Special Sections of the Proceedings

    Publication Year: 2012, Page(s): 2784
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  • IEEE Global History Network [advertisement]

    Publication Year: 2012, Page(s): C3
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  • [Back cover]

    Publication Year: 2012, Page(s): C4
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The most highly-cited general interest journal in electrical engineering and computer science, the Proceedings is the best way to stay informed on an exemplary range of topics.

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Meet Our Editors

Editor-in-Chief
H. Joel Trussell
North Carolina State University