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£65.52
Springer Robust Representation for Data Analytics: Models and Applications (Advanced Information and Knowledge Processing)
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Last 38 days • 38 data points (No recent data available)
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Price distribution over 38 days • 3 price levels
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Most common price: £67 (22 days, 57.9%)
Price range: £61 - £67
Price levels: 3 different prices over 38 days
Description
This book introduces the concepts and models of robust representation learning, and provides a set of solutions to deal with real-world data analytics tasks, such as clustering, classification, time series modeling, outlier detection, collaborative filtering, community detection, etc. Three types of robust feature representations are developed, which extend the understanding of graph, subspace, and dictionary. Leveraging the theory of low-rank and sparse modeling, the authors develop robust feature representations under various learning paradigms, including unsupervised learning, supervised learning, semi-supervised learning, multi-view learning, transfer learning, and deep learning. Robust Representations for Data Analytics covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision.
Product Specifications
- Brand
- Springer
- Format
- hardcover
- ASIN
- 331960175X
- Domain
- Amazon UK
- Release Date
- 29 August 2017
- Listed Since
- 02 May 2017
Barcode
No barcode data available
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