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SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
14 years 4 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
SIGCOMM
2004
ACM
14 years 3 months ago
An algebraic approach to practical and scalable overlay network monitoring
Overlay network monitoring enables distributed Internet applications to detect and recover from path outages and periods of degraded performance within seconds. For an overlay net...
Yan Chen, David Bindel, Han Hee Song, Randy H. Kat...
SIGMETRICS
2004
ACM
125views Hardware» more  SIGMETRICS 2004»
14 years 3 months ago
A hybrid direct-indirect estimator of network internal delays
The network tomography problem requires a remote source to estimate network-internal statistics on individual links within the network. Several techniques have been proposed to pe...
Kostas G. Anagnostakis, Michael Greenwald
IMC
2003
ACM
14 years 2 months ago
Tomography-based overlay network monitoring
Overlay network monitoring enables distributed Internet applications to detect and recover from path outages and periods of degraded performance within seconds. For an overlay net...
Yan Chen, David Bindel, Randy H. Katz
CORR
2010
Springer
114views Education» more  CORR 2010»
13 years 9 months ago
Sequential Compressed Sensing
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of random measurements. Existing results in compressed sens...
Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Wills...