We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...
A parametric procedure for the blind inversion of nonlinear channels is proposed, based on a recent method of blind source separation in nonlinear mixtures. Experiments show that ...
We present a study on purely data-based recognition of animal sounds, performing evaluation on a real-world database obtained from the Humboldt-University Animal Sound Archive. As...
We present TOTA (“Tuples On The Air”), a novel middleware for supporting adaptive context-aware activities in dynamic network scenarios. The key idea in TOTA is to rely on spa...
By leveraging modern networking hardware (RDMA-enabled network cards), we can shift priorities in distributed database processing significantly. Complex and sophisticated mechani...
Philip Werner Frey, Romulo Goncalves, Martin L. Ke...