In the paper, we present a new approach to multi-way Blind Source Separation (BSS) and corresponding 3D tensor factorization that has many potential applications in neuroscience an...
Andrzej Cichocki, Anh Huy Phan, Rafal Zdunek, Liqi...
Prior work has shown that features which appear to be biologically plausible as well as empirically useful can be found by sparse coding with a prior such as a laplacian (L1) that...
A software specification is a fundamental work product that represents user’s requirements and developers can use it to further develop a software system. A software specificati...
Adaptive sparse coding methods learn a possibly overcomplete set of basis functions, such that natural image patches can be reconstructed by linearly combining a small subset of t...
— In this work, we proposed a reliability-based enhancement for the Viterbi and the optimal decoding of the convolutional tailbiting codes (CTBC) from the observations that the d...