Performance prediction and measurement approaches for component-based software systems help software architects to evaluate their systems based on component performance specificat...
The emergence of low-cost sensing architectures for diverse modalities has made it possible to deploy sensor networks that capture a single event from a large number of vantage po...
Mark A. Davenport, Chinmay Hegde, Marco F. Duarte,...
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Quantization-based watermarking schemes are vulnerable to amplitude scaling. Therefore, the scaling factor needs to be estimated at the decoder side, such that the received (attac...
Current workflow management technology does not provide adequate means for inter-workflow coordination as concurrently executing workflows are considered completely independent. W...