Although there is tremendous interest in designing improved networks for data centers, very little is known about the network-level traffic characteristics of current data centers...
—Low-cost networked fluid flow velocity sensors are needed for high-density sampling in environmental research and other applications requiring automated fluid flow velocity mapp...
C. K. Harnett, M. T. Schueler, N. R. Blumenthal, K...
The Kahn Process Network (KPN) model is a widely used modelof-computation to specify and map streaming applications onto multiprocessor systems-on-chips. In general, KPNs are difï...
This paper presents a framework for integrating multiple sensory data, sparse range data and dense depth maps from shape from shading in order to improve the 3D reconstruction of ...
Mostafa G.-H. Mostafa, Sameh M. Yamany, Aly A. Far...
This paper describes a new approach to neural network implementation of photometric stereo for a rotational object with non-uniform reflectance factor. Three input images are acqu...
Yuji Iwahori, Yumi Watanabe, Robert J. Woodham, Ak...