The FastInf C++ library is designed to perform memory and time efficient approximate inference in large-scale discrete undirected graphical models. The focus of the library is pro...
Ariel Jaimovich, Ofer Meshi, Ian McGraw, Gal Elida...
—Single and double scalar multiplications are the most computational intensive operations in elliptic curve based cryptosystems. Improving the performance of these operations is ...
Jithra Adikari, Vassil S. Dimitrov, Laurent Imbert
We present a novel online audio-score alignment approach for multiinstrument polyphonic music. This approach uses a 2-dimensional state vector to model the underlying score positi...
This paper proposes a Bayesian algorithm to estimate the parameters of a smooth transition regression model. With in this model, time series are divided into segments and a linear...
In order to enable real-time software-based video encoding, in this work we optimized the prediction stage of an H.264 video encoder, in the complexity sense. Thus, besides lookin...