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An objective Bayes factor with improper priors

Computational Statistics & Data Analysis, 2022
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Cristiano Villa, Stephen G. Walker
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Object saliency using a background prior

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
What makes an object salient? Almost all the works so far determine object saliency based on the amount of the contrast of a patch or super pixel with it's surrounding. Due to this approach, objects consisting of multiple colors, which is usually the case with a majority of natural objects, are allocated varying saliency values.
Chintak Sheth, R. Venkatesh Babu
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Dense Object Reconstruction with Semantic Priors

2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
We present a dense reconstruction approach that overcomes the drawbacks of traditional multiview stereo by incorporating semantic information in the form of learned category-level shape priors and object detection. Given training data comprised of 3D scans and images of objects from various viewpoints, we learn a prior comprised of a mean shape and a ...
Sid Ying-Ze Bao, Manmohan Chandraker, Yuanqing Lin, Silvio Savarese   +3 more
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Bayes Decision Rules Based on Objective Priors

IEEE Transactions on Systems, Man, and Cybernetics, 1973
The problem of statistical decision making under uncertainty is considered. A Bayes approach based upon prior probabilities which are found using an objective inference technique developed by Kashyap is proposed as the basic solution procedure. The problem is formulated in a statistical decision theory format and the general solution technique is ...
Thomas Oberlin, Rangasami L. Kashyap
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