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DAM
2008
117views more  DAM 2008»
13 years 4 months ago
Analysis on the strip-based projection model for discrete tomography
Discrete tomography deals with image reconstruction of an object with finitely many gray levels (such as two). Different approaches are used to model the raw detector reading. The...
Jiehua Zhu, Xiezhang Li, Yangbo Ye, Ge Wang
ECAI
2006
Springer
13 years 8 months ago
A Learning Classifier Approach to Tomography
Tomography is an important technique for noninvasive imaging: images of the interior of an object are computed from several scanned projections of the object, covering a range of a...
Kees Joost Batenburg
SOPR
2002
106views more  SOPR 2002»
13 years 4 months ago
A discrete simulation model for assessing software project scheduling policies
Good project scheduling is an essential, but extremely hard task in software management practice. In a software project, the time needed to complete some development activity is d...
Frank Padberg
CVGIP
2006
158views more  CVGIP 2006»
13 years 4 months ago
Adaptive grid optical tomography
Image-based modeling of semi-transparent, dynamic phenomena is a challenging task. We present an optical tomography method that uses an adaptive grid for the reconstruction of a t...
Ivo Ihrke, Marcus A. Magnor
SIGIR
2004
ACM
13 years 10 months ago
GaP: a factor model for discrete data
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...
John F. Canny