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  • e-book 
    Face Recognition

    Face Recognition

    Pattern recognition has gained significant attention due to the rapid explosion of internet- and mobile-based applications. Among the various pattern recognition applications, face recognition is always being the center of attraction. With so much of unlabeled face images being captured and made available on internet (particularly on social media), conventional supervised means of classifying face images become challenging. This clearly warrants for semi-supervised classification and subspace projection. Another important concern in face recognition system is the proper and stringent evaluation of its capability. This book is edited keeping all these factors in mind. This book is composed of five chapters covering introduction, overview, semi-supervised classification, subspace projection, and evaluation techniques.

    Subjects:
    Computing, Data Science and Artificial Intelligence and Electronic and Information Engineering
    Keywords:
    Human face recognition (Computer science)
    Resource Type:
    e-book
     
  • Presentation 
    Industry 1: Managing Richly Connected Information

    Industry 1: Managing Richly Connected Information

    This video was recorded at 5th International Semantic Web Conference (ISWC), Athens 2006. We examine research issues that arise when most information items in an enterprise can be linked to each other via short paths, implicit or explicit. In such high-recall settings, the treatment of metadata management, indexing and ranking needs new attention. Additional issues arise as to the best way to handle updates to the connections, whether on or off the transaction path. Even traditional techniques, such as classification and clustering of documents, which stand to benefit from the extra information provided by the so-called network of meaning, need to be reexamined for how best to exploit the extra information. The talk ends with an examination of some promising avenues for using high recall as a driver for the next wave of business process automation

    Subjects:
    Computing, Data Science and Artificial Intelligence and Management
    Keywords:
    Management information systems Information resources management
    Resource Type:
    Presentation
     
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