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» A Framework for Implicitly Tracking Data
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ECCV
2008
Springer
14 years 9 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
POPL
2010
ACM
14 years 5 months ago
Low-Level Liquid Types
We present Low-Level Liquid Types, a refinement type system for C based on Liquid Types. Low-Level Liquid Types combine refinement types with three key elements to automate verifi...
Ming Kawaguchi, Patrick Maxim Rondon, Ranjit Jhala
WCRE
2009
IEEE
14 years 2 months ago
FAMOOSr 2009 - Workshop on FAMIX and Moose in Software Reengineering
The increasing amount of data available about software systems poses new challenges for re- and reverse engineering research, as the proposed approaches need to scale. In this con...
Simon Denier, Tudor Gîrba
SCALESPACE
2009
Springer
14 years 2 months ago
A Multi-scale Feature Based Optic Flow Method for 3D Cardiac Motion Estimation
Abstract. The dynamic behavior of the cardiac muscle is strongly dependent on heart diseases. Optic flow techniques are essential tools to assess and quantify the contraction of t...
Alessandro Becciu, Hans C. van Assen, Luc Florack,...
WCRE
2008
IEEE
14 years 1 months ago
FAMOOSr 2008: Workshop on FAMIX and Moose in Software Reengineering
The increasing amount of data available about software systems poses new challenges for re- and reverse engineering research, as the proposed approaches need to scale. In this con...
Stéphane Ducasse, Tudor Gîrba, Orla G...