Gary B. Huang, Ph.D.
Affiliations: | 2012 | Computer Science | University of Massachusetts, Amherst, Amherst, MA |
Area:
Computer Science, Artificial IntelligenceGoogle:
"Gary Huang"Parents
Sign in to add mentor| Erik G. Learned-Miller | grad student | 2012 | U Mass Amherst | |
| (Weakly supervised learning for unconstrained face processing.) | ||||
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Publications
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| Huang GB, Scheffer LK, Plaza SM. (2018) Fully-Automatic Synapse Prediction and Validation on a Large Data Set. Frontiers in Neural Circuits. 12: 87 |
| Liyanaarachchi Lekamalage C, Yang Y, Huang GB, et al. (2016) Dimension Reduction with Extreme Learning Machine. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society |
| Lu X, Zou H, Zhou H, et al. (2016) Robust Extreme Learning Machine With its Application to Indoor Positioning. Ieee Transactions On Cybernetics. 46: 194-205 |
| Wang S, Deng C, Zhao B, et al. (2016) Gradient-based no-reference image blur assessment using extreme learning machine Neurocomputing. 174: 310-321 |
| Tang J, Deng C, Huang GB, et al. (2015) Compressed-domain ship detection on spaceborne optical image using deep neural network and extreme learning machine Ieee Transactions On Geoscience and Remote Sensing. 53: 1174-1185 |
| Zhu W, Miao J, Qing L, et al. (2015) Hierarchical Extreme Learning Machine for unsupervised representation learning Proceedings of the International Joint Conference On Neural Networks. 2015 |
| Bai Z, Kasun LLC, Huang GB. (2015) Generic object recognition with local receptive fields based extreme learning machine Procedia Computer Science. 53: 391-399 |
| Liu X, Wang L, Huang GB, et al. (2015) Multiple kernel extreme learning machine Neurocomputing. 253-264 |
| Huang GB. (2015) What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt’s Dream and John von Neumann’s Puzzle Cognitive Computation. 7: 263-278 |
| Deng CW, Huang GB, Xu J, et al. (2015) Extreme learning machines: new trends and applications Science China Information Sciences. 58 |