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IPCO
2004
144views Optimization» more  IPCO 2004»
15 years 7 months ago
Hedging Uncertainty: Approximation Algorithms for Stochastic Optimization Problems
Abstract. We study two-stage, finite-scenario stochastic versions of several combinatorial optimization problems, and provide nearly tight approximation algorithms for them. Our pr...
R. Ravi, Amitabh Sinha
ICIP
2006
IEEE
16 years 8 months ago
Fast Separation of Reflection Components using a Specularity-Invariant Image Representation
In this paper, we propose a fast method for separating reflection components using a single color image. We first propose a specular-free two-band image that is a specularity-inva...
Kuk-Jin Yoon, Yoojin Choi, In-So Kweon
ICIP
1999
IEEE
16 years 8 months ago
Efficient Approximation of Gray-Scale Images Through Bounded Error Triangular Meshes
This paper presents an iterative algorithm for approximating gray-scale images with adaptive triangular meshes ensuring a given tolerance. At each iteration, the algorithm applies...
Angel Domingo Sappa, Boris Xavier Vintimilla, Migu...
IEICET
2006
55views more  IEICET 2006»
15 years 6 months ago
Inserting Points Uniformly at Every Instance
A problem of arranging n points as uniformly as possible, which is equivalent to that of packing n equal and non-overlapping circles in a unit square, is frequently asked. In this ...
Sachio Teramoto, Tetsuo Asano, Naoki Katoh, Benjam...
HVEI
2010
15 years 4 months ago
No-reference image quality assessment based on localized gradient statistics: application to JPEG and JPEG2000
This paper presents a novel system that employs an adaptive neural network for the no-reference assessment of perceived quality of JPEG/JPEG2000 coded images. The adaptive neural ...
Hantao Liu, Judith Redi, Hani Alers, Rodolfo Zunin...