Uncovering Suspicious Activity From Partially Paired and Incomplete Multimodal Data

Image Reconstruction from Incomplete Data

Image Reconstruction from Incomplete Data

image reconstruction from incomplete data

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Modeling Paired Ordinal Response Data

 About 25 years ago, McCullagh proposed a method for modeling univariate ordinal responses. After publishing this paper, other statisticians gradually extended his method, such that we are now able to use more complicated but efficient methods to analyze correlated multivariate ordinal data, and model the relationship between these responses and host of covariates. In this paper, we aim to...

Computing Possible and Necessary Winners from Incomplete Partially-Ordered Preferences

There are many situations where we wish to represent and reason with preferences. We consider here how to combine the preferences of multiple agents despite incompleteness and incomparability in their preference orderings. An agent’s preference ordering may be incomplete because, for example, we are in the middle of eliciting their preferences. It may also contain incomparability since, for exa...