Bowler, C.[Chris]
* 2021: Inversion of Phytoplankton Pigment Vertical Profiles from Satellite Data Using Machine Learning
Bowler, D.[Dennis]
* 2019: Concept Development and Risk Reduction for MISTiC Winds, A Micro-Satellite Constellation Approach for Vertically Resolved Wind and IR Sounding Observations in the Troposphere
Bowler, E.[Ellen]
* 2020: Using Deep Learning to Count Albatrosses from Space: Assessing Results in Light of Ground Truth Uncertainty
* 2024: Review of Satellite Remote Sensing and Unoccupied Aircraft Systems for Counting Wildlife on Land
Bowler, J.[John]
* 2015: Automated Axon Segmentation from Highly Noisy Microscopic Videos
Bowles, C.[Christopher]
* 2016: Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation, A
* 2018: large margin algorithm for automated segmentation of white matter hyperintensity, A
Bowles, D.E.[David E.]
* 1985: Pattern recognition system
Bowles, R.E.[Ronald E.]
* 1985: Pattern recognition system
Bowles, T.[Terry]
* 2010: examination of frequency indexes used in the non-uniform DFT, An
Bowley, J.
* 2011: Sparsity and Something Else: An Approach to Encrypted Image Folding
* 2013: Sparse representation of astronomical images
Includes: Bowley, J. Bowley, J.[James]
Bowley, K.A.[Kevin A.]
* 2024: Machine Learning Paradigm for Studying Pictorial Realism: How Accurate are Constable's Clouds?, A
Bowling, C.D.
* 1983: Adaptive Gradient Approach to Displacement Estimation, An
* 1985: Motion Compensated Image Coding with a Combined Maximum a Posteriori and Regression Algorithm
Bowling, L.[Laura]
* 2016: Corn Response to Climate Stress Detected with Satellite-Based NDVI Time Series
Bowling, L.C.[Laura C.]
* 2021: Quantifying Effects of Excess Water Stress at Early Soybean Growth Stages Using Unmanned Aerial Systems
Bowling, M.[Michael]
* 1997: Research in the Automated Analysis of Remotely Sensed Imagery: 1995-1996