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WSC
2004
13 years 10 months ago
Retrospective Approximation Algorithms for the Multidimensional Stochastic Root-Finding Problem
The stochastic root-finding problem (SRFP) is that of solving a system of q equations in q unknowns using only an oracle that provides estimates of the function values. This paper...
Raghu Pasupathy, Bruce W. Schmeiser
CORR
2008
Springer
133views Education» more  CORR 2008»
13 years 9 months ago
Approximation Algorithms for Shortest Descending Paths in Terrains
A path from s to t on a polyhedral terrain is descending if the height of a point p never increases while we move p along the path from s to t. No efficient algorithm is known to ...
Mustaq Ahmed, Sandip Das, Sachin Lodha, Anna Lubiw...
CAD
2006
Springer
13 years 9 months ago
Cone spline approximation via fat conic spline fitting
Fat conic section and fat conic spline are defined. With well established properties of fat conic splines, the problem of approximating a ruled surface by a tangent smooth cone sp...
Xunnian Yang, Weiping Yang
CORR
2007
Springer
143views Education» more  CORR 2007»
13 years 8 months ago
An Approximation Algorithm for Shortest Descending Paths
A path from s to t on a polyhedral terrain is descending if the height of a point p never increases while we move p along the path from s to t. No efficient algorithm is known to ...
Mustaq Ahmed, Anna Lubiw
CVPR
1998
IEEE
14 years 11 months ago
Markov Random Fields with Efficient Approximations
Markov Random Fields (MRF's) can be used for a wide variety of vision problems. In this paper we focus on MRF's with two-valued clique potentials, which form a generaliz...
Yuri Boykov, Olga Veksler, Ramin Zabih