Statistical shape analysis: Clustering, learning, and testing A Srivastava, SH Joshi, W Mio, X Liu IEEE Transactions on pattern analysis and machine intelligence 27 (4), 590-602, 2005 | 368 | 2005 |
Accurate localization of RFID tags using phase difference C Hekimian-Williams, B Grant, X Liu, Z Zhang, P Kumar 2010 IEEE International Conference on RFID (IEEE RFID 2010), 89-96, 2010 | 323 | 2010 |
Texture classification using spectral histograms X Liu, DL Wang IEEE transactions on image processing 12 (6), 661-670, 2003 | 294 | 2003 |
A patch-based convolutional neural network for remote sensing image classification A Sharma, X Liu, X Yang, D Shi Neural Networks 95, 19-28, 2017 | 258 | 2017 |
Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review SN Payrovnaziri, Z Chen, P Rengifo-Moreno, T Miller, J Bian, JH Chen, ... Journal of the American Medical Informatics Association 27 (7), 1173-1185, 2020 | 241 | 2020 |
Face detection using spectral histograms and SVMs CA Waring, X Liu IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 35 …, 2005 | 194 | 2005 |
Optimal linear representations of images for object recognition X Liu, A Srivastava, K Gallivan 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003 | 182 | 2003 |
Overfitting mechanism and avoidance in deep neural networks S Salman, X Liu arXiv preprint arXiv:1901.06566, 2019 | 180 | 2019 |
Exploring texture ensembles by efficient Markov chain Monte Carlo-Toward a" trichromacy" theory of texture SC Zhu, XW Liu, YN Wu IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (6), 554-569, 2000 | 177 | 2000 |
Image and texture segmentation using local spectral histograms X Liu, DL Wang IEEE transactions on image processing 15 (10), 3066-3077, 2006 | 166 | 2006 |
Efficient algorithms for inferences on Grassmann manifolds KA Gallivan, A Srivastava, X Liu, P Van Dooren IEEE Workshop on Statistical Signal Processing, 2003, 315-318, 2003 | 155 | 2003 |
A harmonized segmentation protocol for hippocampal and parahippocampal subregions: Why do we need one and what are the key goals? LEM Wisse, AM Daugherty, RK Olsen, D Berron, VA Carr, CEL Stark, ... Hippocampus 27 (1), 3-11, 2017 | 146 | 2017 |
Universal analytical forms for modeling image probabilities A Srivastava, X Liu, U Grenander IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (9), 1200-1214, 2002 | 143 | 2002 |
Land cover classification from multi-temporal, multi-spectral remotely sensed imagery using patch-based recurrent neural networks A Sharma, X Liu, X Yang Neural Networks 105, 346-355, 2018 | 112 | 2018 |
Equivalence of Julesz ensembles and FRAME models YN Wu, SC Zhu, X Liu International Journal of Computer Vision 38, 247-265, 2000 | 112 | 2000 |
Weight adaptation and oscillatory correlation for image segmentation K Chen, DL Wang, X Liu IEEE Transactions on Neural Networks 11 (5), 1106-1123, 2000 | 110 | 2000 |
A spectral histogram model for texton modeling and texture discrimination X Liu, DL Wang Vision Research 42 (23), 2617-2634, 2002 | 109 | 2002 |
SCARECROW, SCR‐LIKE 23 and SHORT‐ROOT control bundle sheath cell fate and function in Arabidopsis thaliana H Cui, D Kong, X Liu, Y Hao The Plant Journal 78 (2), 319-327, 2014 | 107 | 2014 |
Computer-mediated deception: Strategies revealed by language-action cues in spontaneous communication SM Ho, JT Hancock, C Booth, X Liu Journal of Management Information Systems 33 (2), 393-420, 2016 | 94 | 2016 |
Range image segmentation using a relaxation oscillator network X Liu, DLL Wang IEEE transactions on neural networks 10 (3), 564-573, 1999 | 81 | 1999 |