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JMLR
2010
152views more  JMLR 2010»
14 years 10 months ago
The SHOGUN Machine Learning Toolbox
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...
Sören Sonnenburg, Gunnar Rätsch, Sebasti...
PE
2010
Springer
144views Optimization» more  PE 2010»
14 years 10 months ago
A unified framework for the bottleneck analysis of multiclass queueing networks
We introduce a new framework supporting the bottleneck analysis of closed, multiclass BCMP queueing networks in the limiting regime where the number of jobs proportionally grows t...
Jonatha Anselmi, Paolo Cremonesi
TIM
2010
144views Education» more  TIM 2010»
14 years 10 months ago
Extending Polynomial Chaos to Include Interval Analysis
Polynomial chaos theory (PCT) has been proven to be an efficient and effective way to represent and propagate uncertainty through system models and algorithms in general. In partic...
Antonello Monti, Ferdinanda Ponci, Marco Valtorta
TIP
2010
88views more  TIP 2010»
14 years 10 months ago
Efficient Stereoscopic Ranging via Stochastic Sampling of Match Quality
We present an efficient method that computes dense stereo correspondences by stochastically sampling match quality values. Nonexhaustive sampling facilitates the use of quality met...
Thayne Richard Coffman, Alan Conrad Bovik
167
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TKDE
2010
224views more  TKDE 2010»
14 years 10 months ago
Non-Negative Matrix Factorization for Semisupervised Heterogeneous Data Coclustering
Coclustering heterogeneous data has attracted extensive attention recently due to its high impact on various important applications, such us text mining, image retrieval, and bioin...
Yanhua Chen, Lijun Wang, Ming Dong
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