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» A fuzzy approach to automatic data locality optimization
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CLOR
2006
15 years 1 months ago
A Sparse Object Category Model for Efficient Learning and Complete Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
Robert Fergus, Pietro Perona, Andrew Zisserman
DAGM
2011
Springer
13 years 9 months ago
Relaxed Exponential Kernels for Unsupervised Learning
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
Karim T. Abou-Moustafa, Mohak Shah, Fernando De la...
SIGMETRICS
2009
ACM
151views Hardware» more  SIGMETRICS 2009»
15 years 4 months ago
MapReduce optimization using regulated dynamic prioritization
We present a system for allocating resources in shared data and compute clusters that improves MapReduce job scheduling in three ways. First, the system uses regulated and user-as...
Thomas Sandholm, Kevin Lai
EWSN
2007
Springer
15 years 9 months ago
Multithreading Optimization Techniques for Sensor Network Operating Systems
While a multithreading approach provides a convenient sensor application developing environment with automatic control flow and stack managment, it is considered to have a larger d...
Hyoseung Kim, Hojung Cha
VMCAI
2005
Springer
15 years 3 months ago
Optimizing Bounded Model Checking for Linear Hybrid Systems
Bounded model checking (BMC) is an automatic verification method that is based on a finite unfolding of the system’s transition relation. BMC has been successfully applied, in ...
Erika Ábrahám, Bernd Becker, Felix K...