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» Using Gaussian Processes to Optimize Expensive Functions
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JEI
2006
246views more  JEI 2006»
13 years 9 months ago
Fuzzy logic recursive motion detection and denoising of video sequences
We propose a fuzzy logic recursive scheme for motion detection and spatiotemporal filtering that can deal with the Gaussian noise and unsteady illumination conditions in both the t...
Vladimir Zlokolica, Aleksandra Pizurica, Wilfried ...
CVPR
2008
IEEE
14 years 11 months ago
Unsupervised feature selection via distributed coding for multi-view object recognition
Object recognition accuracy can be improved when information from multiple views is integrated, but information in each view can often be highly redundant. We consider the problem...
Chris Mario Christoudias, Raquel Urtasun, Trevor D...
MOBICOM
2006
ACM
14 years 3 months ago
On optimal communication cost for gathering correlated data through wireless sensor networks
In many energy-constrained wireless sensor networks, nodes cooperatively forward correlated sensed data to data sinks. In order to reduce the communication cost (e.g. overall ener...
Junning Liu, Micah Adler, Donald F. Towsley, Chun ...
PLDI
2004
ACM
14 years 2 months ago
Inducing heuristics to decide whether to schedule
Instruction scheduling is a compiler optimization that can improve program speed, sometimes by 10% or more—but it can also be expensive. Furthermore, time spent optimizing is mo...
John Cavazos, J. Eliot B. Moss
GECCO
2010
Springer
162views Optimization» more  GECCO 2010»
14 years 1 months ago
Heuristics for sampling repetitions in noisy landscapes with fitness caching
For many large-scale combinatorial search/optimization problems, meta-heuristic algorithms face noisy objective functions, coupled with computationally expensive evaluation times....
Forrest Stonedahl, Susa H. Stonedahl