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DAGSTUHL
2009
13 years 8 months ago
Learning Highly Structured Manifolds: Harnessing the Power of SOMs
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
Erzsébet Merényi, Kadim Tasdemir, Li...
HPDC
2010
IEEE
13 years 8 months ago
Scalability of communicators and groups in MPI
As the number of cores inside compute clusters continues to grow, the scalability of MPI (Message Passing Interface) is important to ensure that programs can continue to execute o...
Humaira Kamal, Seyed M. Mirtaheri, Alan Wagner
HUC
2010
Springer
13 years 8 months ago
Empirical models of privacy in location sharing
The rapid adoption of location tracking and mobile social networking technologies raises significant privacy challenges. Today our understanding of people's location sharing ...
Eran Toch, Justin Cranshaw, Paul Hankes Drielsma, ...
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
13 years 8 months ago
Analysis of mammography reports using maximum variation sampling
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
Robert M. Patton, Barbara G. Beckerman, Thomas E. ...
GI
2008
Springer
13 years 8 months ago
A Novel Conceptual Model for Accessing Distributed Data and Applications, as well as Devices
: As data and services are increasingly distributed in the network, rather than stored in a fixed location, one can imagine a scenario in which the Personal Computer, intended as a...
Lucia Terrenghi, Thomas Lang
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