Publications: Recent submissions

Now showing items 124-126 of 160

    • Predicting Actions Before They Occur 

      Vaziri-Pashkam, Maryam; Cormiea, Sarah; Nakayama, Ken (Center for Brains, Minds and Machines (CBMM), 2015-10-26)
      Humans are experts at reading others’ actions in social contexts. They efficiently process others’ movements in real-time to predict intended goals. Here we designed a two-person reaching task to investigate real-time body ...

    • Notes on Hierarchical Splines, DCLNs and i-theory 

      Poggio, Tomaso; Rosasco, Lorenzo; Shashua, Amnon; Cohen, Nadav; Anselmi, Fabio (Center for Brains, Minds and Machines (CBMM), 2015-09-29)
      We define an extension of classical additive splines for multivariate function approximation that we call hierarchical splines. We show that the case of hierarchical, additive, piece-wise linear splines includes present-day ...

    • Deep Convolutional Networks are Hierarchical Kernel Machines 

      Anselmi, Fabio; Rosasco, Lorenzo; Tan, Cheston; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), arXiv, 2015-08-05)
      We extend i-theory to incorporate not only pooling but also rectifying nonlinearities in an extended HW module (eHW) designed for supervised learning. The two operations roughly correspond to invariance and selectivity, ...