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» Distributed Data Structure Design for Scientific Computation
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EMMCVPR
2001
Springer
15 years 10 months ago
Designing the Minimal Structure of Hidden Markov Model by Bisimulation
Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
Manuele Bicego, Agostino Dovier, Vittorio Murino
HPDC
2011
IEEE
14 years 10 months ago
Wrangler: virtual cluster provisioning for the cloud
Cloud computing systems are becoming an important platform for science applications. Infrastructure as a Service (IaaS) clouds provide the capability to provision virtual machines...
Gideon Juve, Ewa Deelman
KDD
2012
ACM
197views Data Mining» more  KDD 2012»
13 years 8 months ago
On the separability of structural classes of communities
Three major factors govern the intricacies of community extraction in networks: (1) the application domain includes a wide variety of networks of fundamentally different natures,...
Bruno D. Abrahao, Sucheta Soundarajan, John E. Hop...
FAST
2011
14 years 9 months ago
Consistent and Durable Data Structures for Non-Volatile Byte-Addressable Memory
The predicted shift to non-volatile, byte-addressable memory (e.g., Phase Change Memory and Memristor), the growth of “big data”, and the subsequent emergence of frameworks su...
Shivaram Venkataraman, Niraj Tolia, Parthasarathy ...
CORR
2010
Springer
166views Education» more  CORR 2010»
15 years 4 months ago
Computer Aided Design Modeling for Heterogeneous Objects
Heterogeneous object design is an active research area in recent years. The conventional CAD modeling approaches only provide geometry and topology of the object, but do not conta...
Vikas Gupta, K. S. Kasana, Puneet Tandon