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» Refactoring Methods for Knowledge Bases
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ICIP
2002
IEEE
16 years 5 months ago
Fusion of X ray radiographic data and anatomical data in computed tomography
In this paper, we consider an X ray computed tomography (CT) image reconstruction problem using two different kinds of data: classical X-rays radiographic data and some geometrica...
Ali Mohammad-Djafari
157
Voted
ICPR
2002
IEEE
16 years 4 months ago
Building the Topological Tree by Recursive FCM Color Clustering
In this paper we define a Topological Tree (TT) as a knowledge representation method that aims to describe important visual and spatial features of image regions, namely the color...
Rita Cucchiara, Costantino Grana, Andrea Prati, St...
110
Voted
ISBI
2004
IEEE
16 years 4 months ago
Optimal Variable-Density k-Space Sampling in MRI
Magnetic resonance imaging (MRI) is often times limited by scan time. To reduce scan time, there have been various efforts to reduce the number of sampling points. In most cases, ...
Jin Hyung Lee, Dwight G. Nishimura, Brad Osgood
ICASSP
2009
IEEE
15 years 10 months ago
A blind speech enhancement algorithm for the suppression of late reverberation and noise
This paper proposes a new speech enhancement algorithm for the suppression of background noise and late reverberation without a priori knowledge. A generalized spectral weighting ...
Heinrich W. Löllmann, Peter Vary
ICTAI
2007
IEEE
15 years 10 months ago
ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...
Yunsong Guo, Bart Selman