Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...
Co-authorship networks, an important type of social networks, have been studied extensively from various angles such as degree distribution analysis, social community extraction a...
A pattern is a finite string of constant and variable symbols. The erasing language generated by a pattern p is the set of all strings that can be obtained by substituting (possib...
Deep submicron processes have allowed FPGAs to grow in complexity and speed. However, such technology scaling has caused FPGAs to become more susceptible to the effects of process...
Classification of images in many category datasets has
rapidly improved in recent years. However, systems that
perform well on particular datasets typically have one or
more lim...