A large number of web sites publish pages containing structured information about recognizable concepts, but these data are only partially used by current applications. Although s...
Paolo Papotti, Valter Crescenzi, Paolo Merialdo, M...
Code generation methods for digital signal processors are increasingly hampered by the combination of tight timing constraints imposed by the algorithms and the limited capacity o...
Data sparseness is one of the factors that degrade statistical machine translation (SMT). Existing work has shown that using morphosyntactic information is an effective solution t...
We introduce the Spherical Admixture Model (SAM), a Bayesian topic model for arbitrary 2 normalized data. SAM maintains the same hierarchical structure as Latent Dirichlet Allocat...
Joseph Reisinger, Austin Waters, Bryan Silverthorn...
—We present a novel space-time patch-based method for image sequence restoration. We propose an adaptive statistical estimation framework based on the local analysis of the bias-...