Sciweavers

45 search results - page 3 / 9
» Solving polynomial least squares problems via semidefinite p...
Sort
View
99
Voted
JMLR
2006
124views more  JMLR 2006»
14 years 9 months ago
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problem
The rise of convex programming has changed the face of many research fields in recent years, machine learning being one of the ones that benefitted the most. A very recent develop...
Tijl De Bie, Nello Cristianini
ICASSP
2011
IEEE
14 years 1 months ago
Cheap semidefinite relaxation MIMO detection using row-by-row block coordinate descent
This paper considers the problem of low complexity implementation of high-performance semidefinite relaxation (SDR) MIMO detection methods. Currently, most SDR MIMO detectors are...
Hoi-To Wai, Wing-Kin Ma, Anthony Man-Cho So
CVPR
2008
IEEE
15 years 11 months ago
Least squares surface reconstruction from measured gradient fields
This paper presents a new method for the reconstruction of a surface from its ? and ? gradient field, measured, for example, via Photometric Stereo. The new algorithm produces the...
Matthew Harker, Paul O'Leary
87
Voted
JGO
2010
100views more  JGO 2010»
14 years 4 months ago
On convex relaxations of quadrilinear terms
The best known method to find exact or at least -approximate solutions to polynomial programming problems is the spatial Branch-and-Bound algorithm, which rests on computing lower...
Sonia Cafieri, Jon Lee, Leo Liberti
SIAMMAX
2010
116views more  SIAMMAX 2010»
14 years 4 months ago
Structured Total Maximum Likelihood: An Alternative to Structured Total Least Squares
Abstract. Linear inverse problems with uncertain measurement matrices appear in many different applications. One of the standard techniques for solving such problems is the total l...
Amir Beck, Yonina C. Eldar