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» Application of Level Set Methods in Computer Vision
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CVPR
2007
IEEE
15 years 11 months ago
Improving Part based Object Detection by Unsupervised, Online Boosting
Detection of objects of a given class is important for many applications. However it is difficult to learn a general detector with high detection rate as well as low false alarm r...
Bo Wu, Ram Nevatia
MOC
1998
175views more  MOC 1998»
15 years 7 months ago
Convergence of a non-stiff boundary integral method for interfacial flows with surface tension
Boundary integral methods to simulate interfacial flows are very sensitive to numerical instabilities. In addition, surface tension introduces nonlinear terms with high order spat...
Héctor D. Ceniceros, Thomas Y. Hou
SIAMSC
2011
85views more  SIAMSC 2011»
14 years 10 months ago
Refinement and Connectivity Algorithms for Adaptive Discontinuous Galerkin Methods
Abstract. Adaptive multiscale methods are among the many effective techniques for the numerical solution of partial differential equations. Efficient grid management is an import...
Kolja Brix, Ralf Massjung, Alexander Voss
ECCV
2008
Springer
16 years 9 months ago
SIFT Flow: Dense Correspondence across Different Scenes
While image registration has been studied in different areas of computer vision, aligning images depicting different scenes remains a challenging problem, closer to recognition tha...
Ce Liu, Jenny Yuen, Antonio B. Torralba, Josef Siv...
COMPSAC
2007
IEEE
16 years 1 months ago
Towards Requirements Engineering for Context Adaptive Systems
Building realistic end user scenarios for ubiquitous computing applications entails large up-front investments. Many context adaptive applications so far fail to live up to their ...
Wassiou Sitou, Bernd Spanfelner