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» Compositional Memory Systems for Data Intensive Applications
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108
Voted
IRI
2005
IEEE
15 years 6 months ago
Data-knowledge-context: an application model for collaborative work
For many years, researchers and software developers have been seeking to develop systems and applications to enable efficient and effective group work and organizational memory. ...
Lee A. Iverson
ICANN
2009
Springer
15 years 7 months ago
Multimodal Sparse Features for Object Detection
In this paper the sparse coding principle is employed for the representation of multimodal image data, i.e. image intensity and range. We estimate an image basis for frontal face i...
Martin Haker, Thomas Martinetz, Erhardt Barth
98
Voted
WWW
2008
ACM
16 years 1 months ago
Composing and optimizing data providing web services
In this paper, we propose a new approach to automatically compose data providing Web services. Our approach exploits existing mature works done in data integration systems. Specif...
Mahmoud Barhamgi, Djamal Benslimane, Aris M. Oukse...
118
Voted
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 1 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
ICS
1999
Tsinghua U.
15 years 5 months ago
Improving the performance of speculatively parallel applications on the Hydra CMP
Hydra is a chip multiprocessor (CMP) with integrated support for thread-level speculation. Thread-level speculation provides a way to parallelize sequential programs without the n...
Kunle Olukotun, Lance Hammond, Mark Willey