In many real-world applications, Euclidean distance in the original space is not good due to the curse of dimensionality. In this paper, we propose a new method, called Discrimina...
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
Cristian Bucila, Rich Caruana, Alexandru Niculescu...
We present and analyze an algorithm for equivalent rewriting of XQuery queries using XQuery views, which is complete for a large class of XQueries featuring nested FLWR blocks, XM...
We consider the problem of "progressively" joining relations whose records are continuously retrieved from remote sources through an unstable network that may incur temp...
Yufei Tao, Man Lung Yiu, Dimitris Papadias, Marios...
In this paper a novel measure for visual correspondence is proposed, to be adopted for common computer vision tasks such as pattern matching, stereo vision, change detection. The ...
Federico Tombari, Luigi di Stefano, Stefano Mattoc...