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CORR
2010
Springer
134views Education» more  CORR 2010»
15 years 5 months ago
The LASSO risk for gaussian matrices
We consider the problem of learning a coefficient vector x0 ∈ RN from noisy linear observation y = Ax0 + w ∈ Rn . In many contexts (ranging from model selection to image proce...
Mohsen Bayati, Andrea Montanari
ICASSP
2011
IEEE
14 years 10 months ago
Weighted and structured sparse total least-squares for perturbed compressive sampling
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data...
Hao Zhu, Georgios B. Giannakis, Geert Leus
CVPR
2012
IEEE
13 years 9 months ago
A new mirror-based extrinsic camera calibration using an orthogonality constraint
This paper is aimed at calibrating the relative posture and position, i.e. extrinsic parameters, of a stationary camera against a 3D reference object which is not directly visible...
Kosuke Takahashi, Shohei Nobuhara, Takashi Matsuya...
DC
2010
15 years 6 months ago
A knowledge-based analysis of global function computation
Consider a distributed system N in which each agent has an input value and each communication link has a weight. Given a global function, that is, a function f whose value depends...
Joseph Y. Halpern, Sabina Petride
CORR
2010
Springer
141views Education» more  CORR 2010»
15 years 6 months ago
The Equivalence of Sampling and Searching
In a sampling problem, we are given an input x {0, 1} n , and asked to sample approximately from a probability distribution Dx over poly (n)-bit strings. In a search problem, we ...
Scott Aaronson