In this paper, we deal with imitation learning of arm movements in humanoid robots. Hidden Markov Models (HMM) are used to generalize movements demonstrated to a robot multiple tim...
A novel scheme is proposed for achieving motion segmentation in low-frame rate videos, with application to temporal super resolution. Probabilistic generative models are commonly ...
We present an effective dynamic analysis for finding a broad class of deadlocks, including the well-studied lock-only deadlocks as well as the less-studied, but no less widespread...
This paper presents a framework to specify and verify integrated services of a home network system (HNS). We first develop a modeling language to describe the HNS and the integra...
Ranking is at the heart of many information retrieval applications. Unlike standard regression or classification in which we predict outputs independently, in ranking we are inter...