Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Abstract--In this paper, we investigate various channel estimators that exploit channel sparsity in the time and/or Doppler domain for a multicarrier underwater acoustic system. We...
Christian R. Berger, Shengli Zhou, James C. Preisi...
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Co-occurrence data is quite common in many real applications. Latent Semantic Analysis (LSA) has been successfully used to identify semantic relations in such data. However, LSA c...
ity Abstraction for Declarative Networking Applications Juan A. Navarro P?erez, Andrey Rybalchenko, and Atul Singh Max Planck Institute for Software Systems (MPI-SWS) Declarative N...
Andrey Rybalchenko, Atul Singh, Juan Antonio Navar...