Using off-the-shelf commodity workstations and PCs to build a cluster for parallel computing has become a common practice. A choice of a cost-effective cluster computing platform ...
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
In the real visual world, the number of categories a classifier needs to discriminate is on the order of hundreds or thousands. For example, the SUN dataset [24] contains 899 sce...
In this paper we focus on the problem of how infinite belief hierarchies can be represented and reasoned with in a computationally tractable way. When modeling nested beliefs one ...
Background: Complexity and noise in expression quantitative trait loci (eQTL) studies make it difficult to distinguish potential regulatory relationships among the many interactio...
Andrew K. Rider, Geoffrey Siwo, Nitesh V. Chawla, ...