Now showing items 58-60 of 159

    • Brain Signals Localization by Alternating Projections 

      Adler, Amir; Wax, Mati; Pantazis, Dimitrios (Center for Brains, Minds and Machines (CBMM), arXiv, 2019-08-29)
      We present a novel solution to the problem of localization of brain signals. The solution is sequential and iterative, and is based on minimizing the least-squares (LS) criterion by the alternating projection (AP) algorithm, ...
    • Theoretical Issues in Deep Networks 

      Poggio, Tomaso; Banburski, Andrzej; Liao, Qianli (Center for Brains, Minds and Machines (CBMM), 2019-08-17)
      While deep learning is successful in a number of applications, it is not yet well understood theoretically. A theoretical characterization of deep learning should answer questions about their approximation power, the ...
    • An analysis of training and generalization errors in shallow and deep networks 

      Mhaskar, H.N.; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), arXiv.org, 2019-05-30)
      This paper is motivated by an open problem around deep networks, namely, the apparent absence of overfitting despite large over-parametrization which allows perfect fitting of the training data. In this paper, we analyze ...