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» Maximal Vector Computation in Large Data Sets
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ISVC
2009
Springer
16 years 1 months ago
Motion-Based View-Invariant Articulated Motion Detection and Pose Estimation Using Sparse Point Features
Abstract. We present an approach for articulated motion detection and pose estimation that uses only motion information. To estimate the pose and viewpoint we introduce a novel mot...
Shrinivas J. Pundlik, Stanley T. Birchfield
ICPR
2008
IEEE
16 years 1 months ago
Incremental clustering via nonnegative matrix factorization
Nonnegative matrix factorization (NMF) has been shown to be an efficient clustering tool. However, NMF`s batch nature necessitates recomputation of whole basis set for new samples...
Serhat Selcuk Bucak, Bilge Günsel
ICSE
1993
IEEE-ACM
15 years 10 months ago
Prototyping a Process Monitoring Experiment
Features are often the basic unit of development for a very large software systems and represent long-term efforts, spanning up to several years from inception to actual use. Deve...
Mark G. Bradac, Dewayne E. Perry, Lawrence G. Vott...
HCW
2000
IEEE
15 years 11 months ago
Design of a Framework for Data-Intensive Wide-Area Applications
Applications that use collections of very large, distributed datasets have become an increasingly important part of science and engineering. With high performance wide-area networ...
Michael D. Beynon, Tahsin M. Kurç, Alan Sus...
ICPR
2008
IEEE
16 years 7 months ago
Tailoring text for automatic layouting of newspaper pages
We consider layouting news articles on a page as a cutting and packing problem with output maximization. We propose to tailor news articles by employing automatic summarization to...
Leonhard Hennig, Thomas Strecker