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About this product
- DescriptionResearchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data. This is due in part to recent advances in data collection and computing techlogies. As a result, fundamental statistical research is being undertaken in a variety of different fields. Driven by the complexity of these new problems, and fueled by the explosion of available computer power, highly adaptive, n-linear procedures are w essential components of modern data analysis, a term that we liberally interpret to include speech and pattern recognition, classification, data compression and signal processing. The development of new, flexible methods combines advances from many sources, including approximation theory, numerical analysis, machine learning, signal processing and statistics. The proposed workshop intends to bring together eminent experts from these fields in order to exchange ideas and forge directions for the future.
- PublisherSpringer-Verlag New York Inc.
- Date of Publication22/01/2003
- Series TitleLecture Notes in Statistics
- Series Part/Volume Numberv. 171
- Place of PublicationNew York, NY
- Country of PublicationUnited States
- ImprintSpringer-Verlag New York Inc.
- Content Notebiography
- Weight741 g
- Width155 mm
- Height235 mm
- Spine23 mm
- Edited byBani K. Mallick,Bin Yu,Christopher C. Holmes,D.D. Denison,M. Hansen
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