Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
This paper presents a new approach for virtual view synthesis that does not require any information of scene geometry. Our approach first generates multiple virtual views at the s...
In this paper, we present a new approach to enhance noisy speech based on an environmental model incorporating the phase between noise and clean speech (often called phasesensitiv...
Pourya S. Jafari, Hou-Yong Kang, Xiaosong Wang, Qi...
This paper proposes a navigational method for mining by collecting evidences from diverse data sources. Since the representation method and even semantics of data elements differ w...
Amarnath Gupta, Michael Baitaluk, Animesh Ray, Adi...
Healthcare processes can be characterized as weakly-connected interacting lightweight workflows coping with different levels of granularity. Classical workflow notations are fal...
R. S. Mans, Nick C. Russell, Wil M. P. van der Aal...