Image segmentation and its performance evaluation are very difficult but important problems in computer vision. A major challenge in segmentation evaluation comes from the fundame...
Sparse representation in compressive sensing is gaining increasing attention due to its success in various applications. As we demonstrate in this paper, however, image sparse rep...
Reconfigurable Systems-on-Chip (SoCs) on the market consist of full-fledged processors and large Field-Programmable Gate-Arrays (FPGAs). The latter can be used to implement the sy...
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Current search mechanisms of DHT-based P2P systems can well handle a single keyword search problem. Other than single keyword search, multi-keyword search is quite popular and use...
Hanhua Chen, Hai Jin, Jiliang Wang, Lei Chen 0002,...