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ICPR
2010
IEEE
14 years 8 months ago
3D Vertebrae Segmentation in CT Images with Random Noises
Exposure levels (X-ray tube amperage and peak kilovoltage) are associated with various noise levels and radiation dose. When higher exposure levels are applied, the images have hi...
Melih Seref Aslan
APPROX
2007
Springer
88views Algorithms» more  APPROX 2007»
15 years 3 months ago
Derandomization of Euclidean Random Walks
We consider the problem of derandomizing random walks in the Euclidean space Rk . We show that for k = 2, and in some cases in higher dimensions, such walks can be simulated in Lo...
Ilia Binder, Mark Braverman
CORR
2008
Springer
104views Education» more  CORR 2008»
14 years 9 months ago
The Case for Structured Random Codes in Network Capacity Theorems
Random coding arguments are the backbone of most channel capacity achievability proofs. In this paper, we show that in their standard form, such arguments are insufficient for pro...
Bobak Nazer, Michael Gastpar
DCG
2008
110views more  DCG 2008»
14 years 9 months ago
An Inscribing Model for Random Polytopes
For convex bodies K with C2 boundary in Rd, we explore random polytopes with vertices chosen along the boundary of K. In particular, we determine asymptotic properties of the volum...
Ross M. Richardson, Van H. Vu, Lei Wu
GECCO
2006
Springer
141views Optimization» more  GECCO 2006»
15 years 1 months ago
Towards effective adaptive random testing for higher-dimensional input domains
Adaptive Random Testing subsumes a class of algorithms that detect the first failure with less test cases than Random Testing. The present paper shows that a "reference metho...
Johannes Mayer