Now showing items 1-20 of 25

    • A host transcriptional signature for presymptomatic detection of infection in humans exposed to influenza H1N1 or H3N2. 

      Carin, Lawrence; Chen, M; Gilbert, AG; Ginsburg, Geoffrey Steven; Glickman, Seth W; Hero, Alfred; Huang, Y; ... (17 authors) (PLoS One, 2013)
      There is great potential for host-based gene expression analysis to impact the early diagnosis of infectious diseases. In particular, the influenza pandemic of 2009 highlighted the challenges and limitations of traditional ...
    • 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 ...
    • An integrated transcriptome and expressed variant analysis of sepsis survival and death. 

      Cairns, CB; Carin, Lawrence; Corey, GR; Dinwiddie, DL; Fowler, Vance Garrison Jr; Ginsburg, Geoffrey Steven; Glickman, Seth W; ... (24 authors) (Genome Med, 2014)
      BACKGROUND: Sepsis, a leading cause of morbidity and mortality, is not a homogeneous disease but rather a syndrome encompassing many heterogeneous pathophysiologies. Patient factors including genetics predispose to poor ...
    • Augment-and-conquer negative binomial processes 

      Carin, Lawrence; Zhou, M (Advances in Neural Information Processing Systems, 2012-12-01)
      By developing data augmentation methods unique to the negative binomial (NB) distribution, we unite seemingly disjoint count and mixture models under the NB process framework. We develop fundamental properties of the models ...
    • Bayesian Gaussian Copula Factor Models for Mixed Data. 

      Carin, Lawrence; Dunson, David B; Lucas, Joseph E; Murray, JS (J Am Stat Assoc, 2013-06-01)
      Gaussian factor models have proven widely useful for parsimoniously characterizing dependence in multivariate data. There is a rich literature on their extension to mixed categorical and continuous variables, using latent ...
    • Bayesian inference of the number of factors in gene-expression analysis: application to human virus challenge studies 

      Carin, Lawrence; Chen, Bo; Chen, Minhua; Dunson, David B; Ginsburg, Geoffrey Steven; Hero, Alfred; Lucas, Joseph E; ... (10 authors) (BMC BIOINFORMATICS, 2010-11-09)
    • Bayesian inference of the number of factors in gene-expression analysis: application to human virus challenge studies. 

      Carin, Lawrence; Chen, B; Chen, M; Dunson, David B; Ginsburg, Geoffrey Steven; Hero, Alfred; Lucas, J; ... (10 authors) (BMC Bioinformatics, 2010-11-09)
      BACKGROUND: Nonparametric Bayesian techniques have been developed recently to extend the sophistication of factor models, allowing one to infer the number of appropriate factors from the observed data. We consider such techniques ...
    • Beta-negative binomial process and poisson factor analysis 

      Carin, Lawrence; Dunson, David B; Hannah, LA; Zhou, M (Journal of Machine Learning Research, 2012-01-01)
      © Copyright 2012 by the authors. A beta-negative binomial (BNB) process is proposed, leading to a beta-gamma-Poisson process, which may be viewed as a "multiscoop" generalization of the beta-Bernoulli process. The BNB process ...
    • 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 ...
    • Communications inspired linear discriminant analysis 

      Calderbank, R; Carin, Lawrence; Carson, W; Chen, M; Rodrigues, Miguel (Proceedings of the 29th International Conference on Machine Learning, ICML 2012, 2012-10-10)
      We study the problem of supervised linear dimensionality reduction, taking an information-theoretic viewpoint. The linear projection matrix is designed by maximizing the mutual information between the projected signal and ...
    • Communications-inspired projection design with application to compressive sensing 

      Calderbank, R; Carin, Lawrence; Carson, WR; Chen, M; Rodrigues, Miguel (SIAM Journal on Imaging Sciences, 2012-12-01)
      We consider the recovery of an underlying signal x ∈ ℂm based on projection measurements of the form y = Mx+w, where y ∈ ℂℓ and w is measurement noise; we are interested in the case ℓ ≪ m. It is assumed that the signal model ...
    • 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 ...
    • Dynamic nonparametric bayesian models for analysis of music 

      Carin, Lawrence; Dunson, David B; Lindroth, S; Ren, L (Journal of the American Statistical Association, 2010-06-01)
      The dynamic hierarchical Dirichlet process (dHDP) is developed to model complex sequential data, with a focus on audio signals from music. The music is represented in terms of a sequence of discrete observations, and the ...
    • Generalized Bregman Divergence and Gradient of Mutual Information for Vector Poisson Channels 

      Carin, Lawrence; IEEE; Rodrigues, Miguel; Wang, L (2013 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY PROCEEDINGS (ISIT), 2013)
    • Host gene expression classifiers diagnose acute respiratory illness etiology. 

      Burke, T; Cairns, CB; Carin, Lawrence; Fowler, Vance Garrison Jr; Freeman, DH; Ginsburg, Geoffrey Steven; Glickman, Seth W; ... (24 authors) (Sci Transl Med, 2016-01-20)
      Acute respiratory infections caused by bacterial or viral pathogens are among the most common reasons for seeking medical care. Despite improvements in pathogen-based diagnostics, most patients receive inappropriate antibiotics. ...
    • Inferring Latent Structure From Mixed Real and Categorical Relational Data 

      Cain, Matthew; Carin, Lawrence; Darling, Elise F; Mitroff, Stephen; Salazar, E
      We consider analysis of relational data (a matrix), in which the rows correspond to subjects (e.g., people) and the columns correspond to attributes. The elements of the matrix may be a mix of real and categorical. Each ...
    • Latent protein trees 

      Carin, Lawrence; Ginsburg, Geoffrey Steven; Henao, R; Lucas, Joseph E; Moseley, Martin Arthur III; Thompson, JW (Annals of Applied Statistics, 2013-06-01)
      Unbiased, label-free proteomics is becoming a powerful technique for measuring protein expression in almost any biological sample. The output of these measurements after preprocessing is a collection of features and their ...
    • Learning a hybrid architecture for sequence regression and annotation 

      Carin, Lawrence; Hartemink, Alexander J; Henao, R; Zhang, Y; Zhong, J (30th AAAI Conference on Artificial Intelligence, AAAI 2016, 2016-01-01)
      © Copyright 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.When learning a hidden Markov model (HMM), sequential observations can often be complemented by real-valued ...
    • Lognormal and gamma mixed negative binomial regression 

      Carin, Lawrence; Dunson, David B; Li, L; Zhou, M (Proceedings of the 29th International Conference on Machine Learning, ICML 2012, 2012-10-10)
      In regression analysis of counts, a lack of simple and efficient algorithms for posterior computation has made Bayesian approaches appear unattractive and thus underdeveloped. We propose a lognormal and gamma mixed negative ...