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PR
2011
14 years 22 days ago
A survey of multilinear subspace learning for tensor data
Increasingly large amount of multidimensional data are being generated on a daily basis in many applications. This leads to a strong demand for learning algorithms to extract usef...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
ICWL
2007
Springer
15 years 4 months ago
The Marriage of Rousseau and Blended Learning: An Investigation of 3 Higher Educational Institutions' Praxis
This paper sets out the central problem of current blended learning research that it does not have an appropriate focus on educational theory. The blended learning praxis in higher...
Esyin Chew, Norah Jones, David Turner
DEBU
2007
131views more  DEBU 2007»
14 years 9 months ago
Future Trends in Secure Chip Data Management
Secure chips, e.g. present in smart cards, TPM, USB dongles are now ubiquitous in applications with strong security requirements. Secure chips host personal data that must be care...
Nicolas Anciaux, Luc Bouganim, Philippe Pucheral
TCAD
2008
88views more  TCAD 2008»
14 years 9 months ago
Self-Adaptive Data Caches for Soft-Error Reliability
Soft-error induced reliability problems have become a major challenge in designing new generation microprocessors. Due to the on-chip caches' dominant share in die area and tr...
Shuai Wang, Jie S. Hu, Sotirios G. Ziavras
ICONIP
2009
14 years 7 months ago
Exploring Early Classification Strategies of Streaming Data with Delayed Attributes
In contrast to traditional machine learning algorithms, where all data are available in batch mode, the new paradigm of streaming data poses additional difficulties, since data sam...
Mónica Millán-Giraldo, J. Salvador S...