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» Classification Using a Hierarchical Bayesian Approach
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SIBGRAPI
2008
IEEE
15 years 8 months ago
Bayesian Estimation of Hyperparameters in MRI through the Maximum Evidence Method
Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...
Damian E. Oliva, Roberto A. Isoardi, Germán...
CVPR
2001
IEEE
16 years 4 months ago
Bayesian Color Constancy for Outdoor Object Recognition
Outdoor scene classification is challenging due to irregular geometry, uncontrolled illumination, and noisy reflectance distributions. This paper discusses a Bayesian approach to ...
Yanghai Tsin, Robert T. Collins, Visvanathan Rames...
IUI
2004
ACM
15 years 8 months ago
Evaluating adaptive user profiles for news classification
Never before have so many information sources been available. Most are accessible on-line and some exist on the Internet alone. However, this large information quantity makes inte...
Ricardo Carreira, Jaime M. Crato
130
Voted
CVPR
2008
IEEE
16 years 4 months ago
Edge preserving spatially varying mixtures for image segmentation
A new hierarchical Bayesian model is proposed for image segmentation based on Gaussian mixture models (GMM) with a prior enforcing spatial smoothness. According to this prior, the...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. Ga...
115
Voted
CHI
2009
ACM
16 years 3 months ago
What's in Wikipedia?: mapping topics and conflict using socially annotated category structure
Wikipedia is an online encyclopedia which has undergone tremendous growth. However, this same growth has made it difficult to characterize its content and coverage. In this paper ...
Aniket Kittur, Ed H. Chi, Bongwon Suh