We present a unified framework for modeling and solving invariant point pattern matching problems. Invariant features are encoded as potentials in a probabilistic graphical model....
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Exploratory ad-hoc queries could return too many answers ? a phenomenon commonly referred to as "information overload". In this paper, we propose to automatically catego...
In the Weighted Finite State Transducer (WFST) framework for speech recognition, we can reduce memory usage and increase flexibility by using on-the-fly composition which genera...
Tasuku Oonishi, Paul R. Dixon, Koji Iwano, Sadaoki...
Abstract—In Network-on-Chip (NoC) application design, coreto-node mapping is an important but intractable optimization problem. In the paper, we use simulated annealing to tackle...