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Algorithms and applications for approximate nonnegative matrix factorization
The development and use of low-rank approximate nonnegative matrix factorization (NMF) algorithms for feature extraction and identification in the fields of text mining and spectral data analysis areExpand
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Nonnegative matrix factorization for spectral data analysis
Data analysis is pervasive throughout business, engineering and science. Very often the data to be analyzed is nonnegative, and it is often preferable to take this constraint into account in theExpand
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Document clustering using nonnegative matrix factorization
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank nonnegative matrixExpand
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Object Characterization from Spectral Data Using Nonnegative Factorization and Information Theory
The identification and classification of non-imaging space objects, and ultimately the determination of their shape, function, and status, is an important but difficult problem still to be resolved.Expand
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Matching highly non-ideal ocular images: An information fusion approach
We consider the problem of matching highly non-ideal ocular images where the iris information cannot be reliably used. Such images are characterized by non-uniform illumination, motion and de-focusExpand
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Mobile apps for the greater good: a socially relevant approach to software engineering
Socially relevant computing has recently been proposed as a way to reinvigorate interest in computer science. By appealing to students' interest in helping others, socially relevant computing aims toExpand
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Iris Segmentation for Challenging Periocular Images
This chapter discusses the performance of five different iris segmentation algorithms on challenging periocular images. The goal is to convey some of the difficulties in localizing the iris structureExpand
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Engineering the pupil phase to improve image quality
By suitably phase-encoding optical images in the pupil plane and then digitally restoring them, one can greatly improve their quality. The use of a cubic phase mask originated by Dowski and Cathey toExpand
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Iris recognition with enhanced depth-of-field image acquistion
Automated iris recognition is a promising method for noninvasive verification of identity. Although it is noninvasive, the procedure requires considerable cooperation from the user. In typicalExpand
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