CBMM Memo Series: Recent submissions

Now showing items 73-75 of 149

    • Detecting Semantic Parts on Partially Occluded Objects 

      Wang, Jianyu; Xe, Cihang; Zhang, Zhishuai; Zhu, Jun; Xie, Lingxi; e.a. (Center for Brains, Minds and Machines (CBMM), 2017-09-04)
      In this paper, we address the task of detecting semantic parts on partially occluded objects. We consider a scenario where the model is trained using non-occluded images but tested on occluded images. The motivation is ...

    • Constant Modulus Algorithms via Low-Rank Approximation 

      Adler, Amir; Wax, Mati (Center for Brains, Minds and Machines (CBMM), 2018-04-12)
      We present a novel convex-optimization-based approach to the solutions of a family of problems involving constant modulus signals. The family of problems includes the constant modulus and the constrained constant modulus, ...

    • An analysis of training and generalization errors in shallow and deep networks 

      Mhaskar, Hrushikesh; Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), arXiv.org, 2018-02-20)
      An open problem around deep networks is the apparent absence of over-fitting despite large over-parametrization which allows perfect fitting of the training data. In this paper, we explain this phenomenon when each unit ...