In this work we present a novel approach for learning nonhomogenous textures without facing the unlearning problem. Our learning method mimics the human behavior of selective lear...
Given a spatial data set placed on an n ? n grid, our goal is to find the rectangular regions within which subsets of the data set exhibit anomalous behavior. We develop algorithm...
Mingxi Wu, Xiuyao Song, Chris Jermaine, Sanjay Ran...
In this work, we investigate the viability of a novel combination of evoked responses as input signals for a general-purpose brain-machine interface (BMI). We demonstrate response...
Rudolph L. Mappus IV, Paul M. Corballis, Melody Mo...
Prior work has shown that computing dynamic slices of erroneous program values can greatly assist in locating the root cause of erroneous behavior by identifying faulty statements...
Scenarios are powerful tools to model and analyze software systems. However, since they do not provide a complete description of the system, but just some possible execution paths,...