We propose an online anomal movement detection method using incremental unsupervised learning. As the feature for discrimination, we extract the principal component of the spatio-...
In this paper, we evaluate a method for on-line handwritten Kanji character recognition by describing the structure of Kanji using Stochastic Context-Free Grammar (SCFG), and exte...
We study models that characterize pen trajectories of online handwritten characters in a fine manner. We propose radical based fine trajectory hidden Markov models (HMMs), which...
We consider the problem of managing advertisements (or ads for short) for ad-hoc online videos, such as those generated by end users. We propose a novel ad selection approach base...
Synchronization protocols based on “dead-reckoning” are vulnerable to a popular type of cheat called speed-hack. A speed-hack helps a cheater to gain unfair advantages by essen...