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SRDS
2010
IEEE
15 years 2 months ago
A Cooperative Sampling Approach to Discovering Optimal Configurations in Large Scale Computing Systems
With the growing scale of current computing systems, traditional configuration tuning methods become less effective because they usually assume a small number of parameters in the...
Haifeng Chen, Guofei Jiang, Hui Zhang 0002, Kenji ...
CVPR
2011
IEEE
15 years 17 days ago
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
Sudheendra Vijayanarasimhan, Kristen Grauman
ISCAS
2011
IEEE
342views Hardware» more  ISCAS 2011»
14 years 7 months ago
Parallel Dynamic Voltage and Frequency Scaling for stream decoding using a multicore embedded system
—Parallel structures may be used to increase a system processing speed in case of large amount of data or highly complex calculations. Dynamic Voltage and Frequency Scaling (DVFS...
Ying-Xun Lai, Yueh-Min Huang, Chin-Feng Lai, Ljilj...
ECCV
2008
Springer
16 years 6 months ago
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
Andrew Gilbert, John Illingworth, Richard Bowden
154
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ICPR
2004
IEEE
16 years 5 months ago
Large Scale Feature Selection Using Modified Random Mutation Hill Climbing
Feature selection is a critical component of many pattern recognition applications. There are two distinct mechanisms for feature selection, namely the wrapper method and the filt...
Anil K. Jain, Michael E. Farmer, Shweta Bapna