Ashok Samal
Affiliations: | Statistics | The University of Nebraska - Lincoln, Lincoln, NE |
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"Ashok Samal"Children
Sign in to add traineeKendra K. Schmid | grad student | 2007 | University of Nebraska - Lincoln |
Deepti Joshi | grad student | 2011 | University of Nebraska - Lincoln |
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Publications
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Schell Z, Samal A, Soh L. (2020) An information fusion approach for conflating labeled point-based time-series data Geoinformatica. 1-41 |
Fan Y, Liu S, Li B, et al. (2018) Label Distribution-Based Facial Attractiveness Computation by Deep Residual Learning Ieee Transactions On Multimedia. 20: 2196-2208 |
Liu S, Fan Y, Guo Z, et al. (2017) A landmark-based data-driven approach on 2.5D facial attractiveness computation Neurocomputing. 238: 168-178 |
Naganathan GK, Cluff K, Samal A, et al. (2016) Identification and validation of key wavelengths for on-line beef tenderness forecasting Transactions of the Asabe. 59: 769-783 |
Yu JG, Xia GS, Gao C, et al. (2016) A Computational Model for Object-Based Visual Saliency: Spreading Attention Along Gestalt Cues Ieee Transactions On Multimedia. 18: 273-286 |
Yu JG, Xia GS, Samal A, et al. (2016) Globally consistent correspondence of multiple feature sets using proximal Gauss-Seidel relaxation Pattern Recognition. 51: 255-267 |
Liu S, Fan Y, Samal A, et al. (2016) Advances in computational facial attractiveness methods Multimedia Tools and Applications. 75: 16633-16663 |
Chaudhuri D, Kushwaha NK, Samal A, et al. (2015) Automatic Building Detection From High-Resolution Satellite Images Based on Morphology and Internal Gray Variance Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Konda Naganathan G, Cluff K, Samal A, et al. (2015) A prototype on-line AOTF hyperspectral image acquisition system for tenderness assessment of beef carcasses Journal of Food Engineering. 154: 1-9 |
Konda Naganathan G, Cluff K, Samal A, et al. (2015) Hyperspectral imaging of ribeye muscle on hanging beef carcasses for tenderness assessment Computers and Electronics in Agriculture. 116: 55-64 |