In this paper, we propose a novel supervised hierarchical sparse coding model based on local image descriptors for classification tasks. The supervised dictionary training is perf...
Operator-based programming languages provide an effective development model for large scale stream processing applications. A stream processing application consists of many runtim...
Xiaolan J. Zhang, Sujay Parekh, Bugra Gedik, Henri...
Image analysis is an important component of neuroscience research. The ICT infrastructure and technical knowledge needed to perform (large scale) neuroimaging studies, however, is...
The vision of grid computing is to make computational power, storage capacity, data and applications available to users as readily as electricity and other utilities. Grid infrast...
Navonil Mustafee, Anders Alstad, Bjorn Larsen, Sim...
— The arrival of the P2P model has opened many new avenues for research within the field of distributed computing. This is mainly due to important practical features (such as su...
Gabriel Antoniu, Philip J. Hatcher, Mathieu Jan, D...