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» Parallel matrix algorithms and applications
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CDES
2006
136views Hardware» more  CDES 2006»
13 years 11 months ago
Using Task Recomputation During Application Mapping in Parallel Embedded Architectures
- Many memory-sensitive embedded applications can tolerate small performance degradations if doing so can reduce the memory space requirements significantly. This paper explores th...
Suleyman Tosun, Mahmut T. Kandemir, Hakduran Koc
GECCO
2010
Springer
165views Optimization» more  GECCO 2010»
13 years 12 months ago
Evolving robust controller parameters using covariance matrix adaptation
In this paper, the advantages of introducing an additional amount of tests when evolving parameters for specific purposes is discussed. A set of optimal PID-controller parameters...
Gerulf K. M. Pedersen, Martin V. Butz
CVPR
2011
IEEE
13 years 5 months ago
High-resolution Hyperspectral Imaging via Matrix Factorization
Hyperspectral imaging is a promising tool for applications in geosensing, cultural heritage and beyond. However, compared to current RGB cameras, existing hyperspectral cameras ar...
Rei Kawakami, John Wright, Yu-Wing Tai, Yasuyuki M...
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 10 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
HPDC
1993
IEEE
14 years 2 months ago
An Analysis of Distributed Computing Software and Hardware for Applications in Computational Physics
We have implemented a set of computational physics codes on a network of IBM RS/6000 workstations used as a distributed parallel computer. We compare the performance of the codes ...
Paul D. Coddington