In this paper, we propose a new image clustering algorithm, referred to as Clustering using Local Discriminant Models and Global Integration (LDMGI). To deal with the data points s...
Yi Yang, Dong Xu, Feiping Nie, Shuicheng Yan, Yuet...
Motivated by applications to sensor networks and privacy preserving databases, we consider the problem of functional compression. The objective is to separately compress possibly c...
Understanding Internet access trends at a global scale, i.e., how people use the Internet, is a challenging problem that is typically addressed by analyzing network traces. However...
Ionut Trestian, Supranamaya Ranjan, Aleksandar Kuz...
Abstract--In the past ten years, the software aging phenomenon has been systematically researched, and recognized by both academic, and industry communities as an important obstacl...
Rivalino Matias, Pedro Alberto Barbetta, Kishor S....
We study the problem of projecting high-dimensional tensor data on an unspecified Riemannian manifold onto some lower dimensional subspace1 without much distorting the pairwise geo...