Now showing items 1-4 of 4

    • Adaptive temporal compressive sensing for video 

      Brady, David J; Carin, Lawrence; Liao, X; Llull, P; Sapiro, Guillermo; Yang, J; Yuan, X (2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings, 2013-12-01)
      This paper introduces the concept of adaptive temporal compressive sensing (CS) for video. We propose a CS algorithm to adapt the compression ratio based on the scene's temporal complexity, computed from the compressed data, ...
    • An active learning approach for rapid characterization of endothelial cells in human tumors. 

      Carin, Lawrence; Dipaola, RS; Feldman, MD; Flaherty, KT; Griffith, SD; Heitjan, DF; Hu, J; ... (17 authors) (PLoS One, 2014)
      Currently, no available pathological or molecular measures of tumor angiogenesis predict response to antiangiogenic therapies used in clinical practice. Recognizing that tumor endothelial cells (EC) and EC activation and ...
    • Coded aperture compressive temporal imaging. 

      Brady, David J; Carin, Lawrence; Kittle, D; Liao, X; Llull, P; Sapiro, Guillermo; Yang, J; ... (8 authors) (Opt Express, 2013-05-06)
      We use mechanical translation of a coded aperture for code division multiple access compression of video. We discuss the compressed video's temporal resolution and present experimental results for reconstructions of > 10 ...
    • Cross-Domain Multitask Learning with Latent Probit Models 

      Carin, Lawrence; Han, S; Liao, X
      Learning multiple tasks across heterogeneous domains is a challenging problem since the feature space may not be the same for different tasks. We assume the data in multiple tasks are generated from a latent common domain ...