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» Dynamic Time-Alignment Kernel in Support Vector Machine
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CCS
2011
ACM
13 years 10 months ago
Eliminating the hypervisor attack surface for a more secure cloud
Cloud computing is quickly becoming the platform of choice for many web services. Virtualization is the key underlying technology enabling cloud providers to host services for a l...
Jakub Szefer, Eric Keller, Ruby B. Lee, Jennifer R...
CVPR
2010
IEEE
14 years 10 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
SC
1990
ACM
15 years 2 months ago
Tracing application program execution on the Cray X-MP and Cray 2
Important insights into program operation can be gained by observing dynamic execution behavior. Unfortunately, many high-performance machines provide execution profile summaries ...
Allen D. Malony, John L. Larson, Daniel A. Reed
ICNC
2005
Springer
15 years 4 months ago
Novel Leaning Feed-Forward Controller for Accurate Robot Trajectory Tracking
This paper presents a novel learning feed-forward controller design approach for accurate robotics trajectory tracking. Based on the joint nonlinear dynamics characteristics, a mod...
D. Bi, G. L. Wang, Jun Zhang, Q. Xue
CVPR
2008
IEEE
16 years 13 days ago
Semi-supervised SVM batch mode active learning for image retrieval
Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learni...
Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R....