Background: Technological advances in high-throughput techniques and efficient data acquisition methods have resulted in a massive amount of life science data. The data is stored ...
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
Abstract: Enterprises are socio technical systems whose management involves multiple stakeholders each demanding for a distinct perspective on the enterprise. A large number of mod...
To understand the functional connectivity of neural networks, it is important to develop simple and incisive descriptors of multineuronal firing patterns. Analysis at the pairwise...
—Debugging and analyzing Wireless Sensor Networks (WSNs) are important tasks for improving the quality and performance of the network. In this paper, Pimoto is to be presented, w...