Adrian G. Barbu, Ph.D.
Affiliations: | 2005 | University of California, Los Angeles, Los Angeles, CA |
Area:
computer vision; statistical modeling and computing; vision and visual arts; machine learningGoogle:
"Adrian Barbu"Parents
Sign in to add mentor| Song Chun Zhu | grad student | 2005 | UCLA | |
| (Cluster sampling and its applications to segmentation, stereo and motion.) | ||||
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Publications
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| Wang M, Barbu A. (2019) Are screening methods useful in feature selection? An empirical study. Plos One. 14: e0220842 |
| Inkoom S, Sobanjo J, Barbu A, et al. (2019) Prediction of the crack condition of highway pavements using machine learning models Structure and Infrastructure Engineering. 15: 940-953 |
| Barbu A, Lu L, Roth H, et al. (2018) An analysis of robust cost functions for CNN in computer-aided diagnosis Computer Methods in Biomechanics and Biomedical Engineering. Imaging & Visualization. 6: 253-258 |
| Barbu A, She Y, Ding L, et al. (2016) Feature Selection with Annealing for Computer Vision and Big Data Learning. Ieee Transactions On Pattern Analysis and Machine Intelligence |
| Barbu A, Wu T, Wu YN. (2015) Learning mixtures of bernoulli templates by two-round EM with performance guarantee Electronic Journal of Statistics. 8: 3004-3030 |
| Barbu A. (2014) Multi-Path Marginal Space Learning for Object Detection Academic Press Library in Signal Processing. 4: 271-291 |
| Coyle EJ, Roberts RG, Collins EG, et al. (2014) Synthetic data generation for classification via uni-modal cluster interpolation Autonomous Robots. 37: 27-45 |
| Barbu A. (2013) Hierarchical object parsing from structured noisy point clouds Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 1649-1659 |
| Zhang K, Collins EG, Barbu A. (2013) An efficient stochastic clustering auction for heterogeneous robotic collaborative teams Journal of Intelligent and Robotic Systems: Theory and Applications. 72: 541-558 |
| Bunea F, Tsybakov AB, Wegkamp MH, et al. (2010) SPADES and mixture models Annals of Statistics. 38: 2525-2558 |