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Eric L. Miller

  1. Imaging the body with diffuse optical tomography
    2001/01/01 by David A. Boas, D.A. Boas, Dana H. Brooks +10 · 8 citations
    Medicine · Engineering · #Optical Imaging and Spectroscopy Techniques #Photoacoustic and Ultrasonic Imaging #Non-Invasive Vital Sign Monitoring
  2. Exploiting Structural Complexity for Robust and Rapid Hyperspectral Imaging
    2013/05/09 by Gregory Ely, Ely, Gregory, Shuchin Aeron +3 · 1 citation
    Computer Science · Engineering · Mathematics · Medicine · Physics and Astronomy · #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Physical sciences #Geophysics (physics.geo-ph) #Information Theory (cs.IT) #Optical Imaging and Spectroscopy Techniques #Photoacoustic and Ultrasonic Imaging #Sparse and Compressive Sensing Techniques #cs.IT #math.IT #physics.geo-ph #stat.AP
  3. Dynamical Wasserstein Barycenters for Time-series Modeling
    2021/10/13 by Kevin C. Cheng, Cheng, Kevin C., Shuchin Aeron +5 · 1 citation
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Time Series Analysis and Forecasting
  4. Tensor BM-Decomposition for Compression and Analysis of Video Data
    2023/06/15 by Misha E. Kilmer, Tian, Fan, Kilmer, Misha E. +4 · 1 citation
    Computer Science · Mathematics · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Mathematics #Numerical Analysis (math.NA) #Solar and Space Plasma Dynamics #Tensor decomposition and applications
  5. Automatic coding of students' writing via Contrastive Representation Learning in the Wasserstein space
    2020/11/26 by Ruijie Jiang, Julia Gouvea, Jiang, Ruijie +7 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling