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CORR
2004
Springer
103views Education» more  CORR 2004»
15 years 6 months ago
Online convex optimization in the bandit setting: gradient descent without a gradient
We study a general online convex optimization problem. We have a convex set S and an unknown sequence of cost functions c1, c2, . . . , and in each period, we choose a feasible po...
Abraham Flaxman, Adam Tauman Kalai, H. Brendan McM...
MOC
2000
105views more  MOC 2000»
15 years 6 months ago
On the iteratively regularized Gauss-Newton method for solving nonlinear ill-posed problems
The iteratively regularized Gauss-Newton method is applied to compute the stable solutions to nonlinear ill-posed problems F (x) = y when the data y is given approximately by y wit...
Jin Qi-nian
IJCV
2002
240views more  IJCV 2002»
15 years 6 months ago
Self-Calibration of Rotating and Zooming Cameras
In this paper we describe the theory and practice of self-calibration of cameras which are fixed in location and may freely rotate while changing their internal parameters by zoomi...
Lourdes de Agapito, Eric Hayman, Ian D. Reid
IJCGA
1998
74views more  IJCGA 1998»
15 years 6 months ago
Polyhedral Assembly Partitioning Using Maximally Covered Cells in Arrangements of Convex Polytopes
We study the following problem: Given a collection A of polyhedral parts in 3D, determine whether there exists a subset S of the parts that can be moved as a rigid body by in nite...
Leonidas J. Guibas, Dan Halperin, Hirohisa Hirukaw...
LOGCOM
1998
178views more  LOGCOM 1998»
15 years 6 months ago
Applying the Mu-Calculus in Planning and Reasoning about Action
Planning algorithms have traditionally been geared toward achievement goals in single-agent environments. Such algorithms essentially produce plans to reach one of a specified se...
Munindar P. Singh
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