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ICML
2009
IEEE
16 years 7 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
WWW
2010
ACM
15 years 10 months ago
Enabling entity-based aggregators for web 2.0 data
Selecting and presenting content culled from multiple heterogeneous and physically distributed sources is a challenging task. The exponential growth of the web data in modern time...
Ekaterini Ioannou, Claudia Niederée, Yannis...
ATAL
2008
Springer
15 years 8 months ago
A context-aware personal desktop assistant
We demonstrate an intelligent personal assistant agent that has been developed to aid a busy knowledge worker in managing time commitments and performing tasks. The PExA agent dra...
Hung Hai Bui, Federico Cesari, Daniel Elenius, Dav...
EUROCRYPT
2012
Springer
13 years 9 months ago
Property Preserving Symmetric Encryption
Abstract. Processing on encrypted data is a subject of rich investigation. Several new and exotic encryption schemes, supporting a diverse set of features, have been developed for ...
Omkant Pandey, Yannis Rouselakis
ICPP
2006
IEEE
16 years 25 days ago
Parallel Information Extraction on Shared Memory Multi-processor System
Text Mining is one of the best solutions for today and the future’s information explosion. With the development of modern processor technologies, it will be a mass market deskto...
Jiulong Shan, Yurong Chen, Qian Diao, Yimin Zhang