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» An algorithmic framework for network reconstruction
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CIKM
2010
Springer
15 years 2 months ago
FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
Yun Chi, Shenghuo Zhu
SIGCOMM
2005
ACM
15 years 9 months ago
Meridian: a lightweight network location service without virtual coordinates
This paper introduces a lightweight, scalable and accurate framework, called Meridian, for performing node selection based on network location. The framework consists of an overla...
Bernard Wong, Aleksandrs Slivkins, Emin Gün S...
NETWORKING
2007
15 years 5 months ago
Delivery Guarantees in Predictable Disruption Tolerant Networks
This article studies disruption tolerant networks (DTNs) where each node knows the probabilistic distribution of contacts with other nodes. It proposes a framework that allows one ...
Jean-Marc François, Guy Leduc
ECCV
2008
Springer
16 years 6 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....
CIMAGING
2009
192views Hardware» more  CIMAGING 2009»
15 years 5 months ago
Compressive coded aperture imaging
Nonlinear image reconstruction based upon sparse representations of images has recently received widespread attention with the emerging framework of compressed sensing (CS). This ...
Roummel F. Marcia, Zachary T. Harmany, Rebecca Wil...