Bibliography: p. 56-58.Supported by the National Science Foundation grant ECS-8312921 Supported by the U.S. Army Research Office grant DAAG29-84-K-0005Jerry L. Prince and Alan S. Willsky
We consider the problem of reconstructing a planar convex set from noisy observations of its moments...
Given noisy data, function estimation is considered when the unknown function is known a priori to c...
Reconstruction fidelity of sparse signals contaminated by sparse noise is considered. Statistical me...
Also issued as: CICS-P-16. Caption title.Bibliography: p. 32-33.Supported, in part, by a grant from ...
Caption title.Bibliography: p. 5-6.Supported, in part, by a grant from the U.S. Army Research Office...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
In this paper we present several algorithms for reconstructing 2D convex sets given support line mea...
We present a minimax optimal solution to the problem of estimating a compact, convex set from finite...
Cover title.Includes bibliographical references (p. 42-44).Research supported by the Department of t...
Caption title. "October 26, 1988."Includes bibliographical references.This research is partially sup...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
The geometric problem of estimating an unknown compact convex set from evaluations of its support fu...
Abstract—We consider the problem of recovering edges of an image from noisy tomographic data. The or...
Dans ce travail, nous nous intéressons à l'estimation d'ensembles convexes dans l'espace Euclidien ℝ...
Abstract: In this paper we are concerned with fully automatic and lo-cally adaptive estimation of fu...
We consider the problem of reconstructing a planar convex set from noisy observations of its moments...
Given noisy data, function estimation is considered when the unknown function is known a priori to c...
Reconstruction fidelity of sparse signals contaminated by sparse noise is considered. Statistical me...
Also issued as: CICS-P-16. Caption title.Bibliography: p. 32-33.Supported, in part, by a grant from ...
Caption title.Bibliography: p. 5-6.Supported, in part, by a grant from the U.S. Army Research Office...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
In this paper we present several algorithms for reconstructing 2D convex sets given support line mea...
We present a minimax optimal solution to the problem of estimating a compact, convex set from finite...
Cover title.Includes bibliographical references (p. 42-44).Research supported by the Department of t...
Caption title. "October 26, 1988."Includes bibliographical references.This research is partially sup...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
The geometric problem of estimating an unknown compact convex set from evaluations of its support fu...
Abstract—We consider the problem of recovering edges of an image from noisy tomographic data. The or...
Dans ce travail, nous nous intéressons à l'estimation d'ensembles convexes dans l'espace Euclidien ℝ...
Abstract: In this paper we are concerned with fully automatic and lo-cally adaptive estimation of fu...
We consider the problem of reconstructing a planar convex set from noisy observations of its moments...
Given noisy data, function estimation is considered when the unknown function is known a priori to c...
Reconstruction fidelity of sparse signals contaminated by sparse noise is considered. Statistical me...