An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
There is growing interest in algorithms for processing and querying continuous data streams (i.e., data that is seen only once in a fixed order) with limited memory resources. Pro...
Sumit Ganguly, Minos N. Garofalakis, Amit Kumar, R...
We introduce the coupled placement problem for modern data centers spanning placement of application computation and data among available server and storage resources. While the t...
Tracking moving objects from image sequences obtained by a moving camera is a difï¬cult problem since there exists apparent motion of the static background. It becomes more difï¬...
Abstract—We consider the problem of aligning multiple protein sequences with the goal of maximizing the SP (Sum-of-Pairs) score, when the number of sequences is large. The QOMA (...