The goal of deconvolution is to recover an image x from its convolution with a known blurring function. This is equivalent to inverting the linear system y = Hx. In this paper we ...
Dimension reduction is a critical data preprocessing step for many database and data mining applications, such as efficient storage and retrieval of high-dimensional data. In the ...
Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Ja...
The classical optical flow assumes that a feature point maintains constant brightness across the frames. For fluidtype motions such as smoke or clouds, the constant brightness ass...
We study the role of task-level scheduling in power management on multicore multiple voltage embedded systems. Multicore on-achip, in particular DSP systems, can greatly improve p...
Cooperative caching is an important technique to support efficient data dissemination and sharing in Mobile Ad hoc Networks (MANETs). In order to ensure valid data access, the cach...