Now showing items 1-3 of 3

    • Compressed Sensing with Binary Matrices: New Bounds on the Number of Measurements 

      Lotfi, Mahsa; Vidyasagar, Mathukumalli (Institute of Electrical and Electronics Engineers Inc., 2019-01-09)
      In this paper we study the problem of compressed sensing using binary measurement matrices. New bounds are derived for the number of measurements that suffice to achieve robust sparse recovery, and the number of measurements ...
    • Exploiting Ordinal Class Structure in Multiclass Classification: Application to Ovarian Cancer 

      Misganaw, Burook; Vidyasagar, Mathukumalli
      In multiclass machine learning problems, one needs to distinguish between the nominal labels that do not have any natural ordering and the ordinal labels that are ordered. Ordinal labels are pervasive in biology, and some ...
    • Sparse Feature Selection for Classification and Prediction of Metastasis in Endometrial Cancer 

      Ahsen, Mehmet Eren; Boren, Todd P.; Singh, Nitin K.; Misganaw, Burook; Mutch, David G.; Moore, Kathleen N.; Backes, Floor J.; McCourt, Carolyn K.; Lea, Jayanthi S.; Miller, David S.; White, Michael A.; Vidyasagar, Mathukumalli (2017-03-27)
      Background: Metastasis via pelvic and/or para-aortic lymph nodes is a major risk factor for endometrial cancer. Lymph-node resection ameliorates risk but is associated with significant co-morbidities. Incidence in patients ...