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IPMI
2009
Springer
16 years 17 days ago
A Statistical Model of White Matter Fiber Bundles based on Currents
The purpose of this paper is to measure the variability of a population of white matter fiber bundles without imposing unrealistic geometrical priors. In this respect, modeling fib...
Stanley Durrleman, Pierre Fillard, Xavier Pennec, ...
CVPR
1997
IEEE
15 years 4 months ago
Learning Generic Prior Models for Visual Computation
This paper presents a novel theory for learning generic prior models from a set of observed natural images based on a minimax entropy theory that the authors studied in modeling t...
Song Chun Zhu, David Mumford
BMCBI
2011
14 years 3 months ago
To aggregate or not to aggregate high-dimensional classifiers
Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
Cheng-Jian Xu, Huub C. J. Hoefsloot, Age K. Smilde
CVPR
2011
IEEE
14 years 7 months ago
Learning a Blind Measure of Perceptual Image Quality
It is often desirable to evaluate an image based on its quality. For many computer vision applications, a perceptually meaningful measure is the most relevant for evaluation; howe...
Huixuan Tang, Neel Joshi, Ashish Kapoor
ICPR
2010
IEEE
15 years 4 months ago
Fast and Spatially-Smooth Terrain Classification Using Monocular Camera
In this paper, we present a monocular camera based terrain classification scheme. The uniqueness of the proposed scheme is that it inherently incorporates spatial smoothness while...
Chetan Jakkoju, Madhava Krishna, C. V. Jawahar