WA-PF: Deep Learning and Neural Networks |
| Session Type: Poster |
| Time: Wednesday, September 20, 10:30 - 12:00 |
| Location: Poster Area F |
| Session Chair: Matthew Kyan, York University
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WA-PF.1: LEARNING AUTOENCODERS WITH LOW-RANK WEIGHTS |
| Kavya Gupta; TCS |
| Angshul Majumdar; Indraprastha Institute of Information Technology Delhi |
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WA-PF.2: MULTI-SCALE 3D DEEP CONVOLUTIONAL NEURAL NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION |
| Mingyi He; Northwestern Polytechnical University |
| Bo Li; Northwestern Polytechnical University |
| Huahui Chen; Northwestern Polytechnical University |
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WA-PF.3: LANDMARK BASED HEAD POSE ESTIMATION BENCHMARK AND METHOD |
| Philipp Werner; University of Magdeburg |
| Frerk Saxen; University of Magdeburg |
| Ayoub Al-Hamadi; University of Magdeburg |
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WA-PF.4: RETRAIN-FREE FULLY CONNECTED LAYER OPTIMIZATION USING MATRIX FACTORIZATION |
| Yi Sun; Hong Kong Applied Science and Technology Research Institute (ASTRI) |
| Xuejiao Liu; Hong Kong Applied Science and Technology Research Institute (ASTRI) |
| Luhong Liang; Hong Kong Applied Science and Technology Research Institute (ASTRI) |
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WA-PF.5: CONVOLUTIONAL NEURAL NETWORKS AND TRAINING STRATEGIES FOR SKIN DETECTION |
| Yoonsik Kim; Seoul National University |
| Insung Hwang; Seoul National University |
| Nam Ik Cho; Seoul National University |
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WA-PF.6: HYPER-PARAMETER OPTIMIZATION FOR CONVOLUTIONAL NEURAL NETWORK COMMITTEES BASED ON EVOLUTIONARY ALGORITHMS |
| Erik Bochinski; Technische Universität Berlin |
| Tobias Senst; Technische Universität Berlin |
| Thomas Sikora; Technische Universität Berlin |
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WA-PF.7: TOWARDS 3D CONVOLUTIONAL NEURAL NETWORKS WITH MESHES |
| Miguel Dominguez; Rochester Institute of Technology |
| Felipe Petroski Such; Rochester Institute of Technology |
| Shagan Sah; Rochester Institute of Technology |
| Raymond Ptucha; Rochester Institute of Technology |
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WA-PF.8: DEEP ACTIVE LEARNING FOR IMAGE CLASSIFICATION |
| Hiranmayi Ranganathan; Arizona State University |
| Hemanth Venkateswara; Arizona State University |
| Shayok Chakraborty; Arizona State University |
| Panchanathan Sethuraman; Arizona State University |
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WA-PF.9: TOWARDS THINNER CONVOLUTIONAL NEURAL NETWORKS THROUGH GRADUALLY GLOBAL PRUNING |
| Zhengtao Wang; University of Electronic Science and Technology of China |
| Ce Zhu; University of Electronic Science and Technology of China |
| Zhiqiang Xia; University of Electronic Science and Technology of China |
| Qi Guo; University of Electronic Science and Technology of China |
| Yipeng Liu; University of Electronic Science and Technology of China |
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WA-PF.10: COMPUTED TOMOGRAPHY SUPER-RESOLUTION USING CONVOLUTIONAL NEURAL NETWORKS |
| Haichao Yu; Beckman Institute, University of Illinois at Urbana-Champaign |
| Ding Liu; Beckman Institute, University of Illinois at Urbana-Champaign |
| Honghui Shi; Beckman Institute, University of Illinois at Urbana-Champaign |
| Hanchao Yu; Beckman Institute, University of Illinois at Urbana-Champaign |
| Zhangyang Wang; Texas A&M University |
| Xinchao Wang; Beckman Institute, University of Illinois at Urbana-Champaign |
| Brent Cross; Jump Trading Simulation and Education Center |
| Matthew Bramlet; Jump Trading Simulation and Education Center |
| Thomas Huang; Beckman Institute, University of Illinois at Urbana-Champaign |
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WA-PF.11: IMAGE-BASED AIR QUALITY ANALYSIS USING DEEP CONVOLUTIONAL NEURAL NETWORK |
| Avijoy Chakma; Lamar University |
| Ben Vizena; Lamar University |
| Tingting Cao; Lamar University |
| Jerry Lin; Lamar University |
| Jing Zhang; Lamar University |
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WA-PF.12: BETTER THAN REAL: COMPLEX-VALUED NEURAL NETS FOR MRI FINGERPRINTING |
| Patrick Virtue; University of California, Berkeley |
| Stella X. Yu; University of California, Berkeley / International Computer Science Institute |
| Michael Lustig; University of California, Berkeley |
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