We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
We propose a block-based transform optimization and associated image compression technique that exploits regularity along directional image singularities. Unlike established work,...
Osman Gokhan Sezer, Oztan Harmanci, Onur G. Gulery...
Given a color image previously compressed using JPEG, we estimate the image's JPEG compression history components including the color transformation, subsampling, and the qua...
Ramesh Neelamani, Ricardo L. de Queiroz, Zhigang F...
Data collections often have inconsistencies that arise due to a variety of reasons, and it is desirable to be able to identify and resolve them efficiently. Set similarity queries ...
Marios Hadjieleftheriou, Amit Chandel, Nick Koudas...
We present a generalization of frequent itemsets allowing the notion of errors in the itemset definition. We motivate the problem and present an efficient algorithm that identifie...