Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
An original algorithm is presented that generates both restricted integer compositions and restricted integer partitions that can be constrained simultaneously by a) upper and low...
The Internet Protocol Security Architecture IPsec is hard to deploy in large, nested, or dynamic scenarios. The major reason for this is the need for manual configuration of the cr...
Michael Rossberg, Guenter Schaefer, Thorsten Struf...
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...
Node capture is considered as one of the most critical issues in the security of wireless sensor networks. A popular approach to thwart the problem relies on the detection of event...