This paper explores the challenges associated with distributed application management in large-scale computing environments. In particular, we investigate several techniques for e...
Nikolay Topilski, Jeannie R. Albrecht, Amin Vahdat
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...
Markov random field models provide a robust formulation of low-level vision problems. Among the problems, stereo vision remains the most investigated field. The belief propagation...
Several methods exist for printer identification from a printed document. We have developed a system that performs printer identification using intrinsic signatures of the printer...
Aravind K. Mikkilineni, Nitin Khanna, Edward J. De...
We present a probabilistic approach to language change in which word forms are represented by phoneme sequences that undergo stochastic edits along the branches of a phylogenetic ...