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» A Bayesian Approach to Tackling Hard Computational Problems
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CASES
2007
ACM
15 years 3 months ago
Towards understanding architectural tradeoffs in MEMS closed-loop feedback control
Micro-Electro-Mechanical Systems (MEMS) combine lithographically formed mechanical structures with electrical elements to create physical systems that operate on the scale of micr...
Greg Hoover, Forrest Brewer, Timothy Sherwood
CGF
2010
156views more  CGF 2010»
14 years 11 months ago
Mixed Finite Elements for Variational Surface Modeling
Many problems in geometric modeling can be described using variational formulations that define the smoothness of the shape and its behavior w.r.t. the posed modeling constraints....
Alec Jacobson, Elif Tosun, Olga Sorkine, Denis Zor...
COMGEO
2007
ACM
14 years 11 months ago
On incremental rendering of silhouette maps of a polyhedral scene
We consider the problem of incrementally rendering a polyhedral scene while the viewpoint is moving. In practical situations the number of geometric primitives to be rendered can ...
Alon Efrat, Leonidas J. Guibas, Olaf A. Hall-Holt,...
CVPR
2009
IEEE
16 years 6 months ago
Geometric and Probabilistic Image Dissimilarity Measures for Common Field of View Detection
Detecting image pairs with a common field of view is an important prerequisite for many computer vision tasks. Typically, common local features are used as a criterion for ident...
Ferid Bajramovic, Joachim Denzler, Marcel Brü...
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
15 years 11 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy