Details This method contains two levels.

519-888-4567 EXT 33984. lfu@uwaterloo.ca. 574 - 586, 2012. Department: Department of Applied Mathematics. If you are interested in the Liu lab research and are highly motivated, please consider applying a NSERC undergraduate research fellowship. Furthermore, the inherent differences of the RL algorithms are embodied and discussed in DM strategies. Liu, L., Y. Wei, P. Fieguth, and G. Kuang, "Fusing Sorted Random Projections for Robust Texture Classification and Material Categorization", IEEE Transactions on Circuits and Systems for Video Technology, vol. Jan 2013: we are part of the UW/EcoSynthetix partnership for developing bio-based materials.

Dave N, Liu J. Then the proposed deep reinforcement learning control system is trained and verified by the realistic driving condition with high-precision, and is compared with the benchmark method DP and the traditional DQL method. His main research interests are in the theory and applications of hybrid systems and control, including rigorous computational methods for control design with applications in robotics and cyber-physical systems.

The exploited DRL methods include deep Q-learning (DQL) and double DQL. www.itsslab.com. Nine students have published 11 first-authored papers already! 23, no. This document is designed to outline laboratory safety in general and specific to the Liu Lab, and to make you aware of hazards and hazardous materials you may encounter during your time in the lab. Short biography Li Liu received her B.S. 7, 2014. Programmable Assembly of DNA-Functionalized Liposomes by DNA.  Liu, L., P. Fieguth, G. Zhao, and M. Pietikäinen, "Extended Local Binary Pattern Fusion for Face Recognition",International Conference on Image Processing, 2014.

Details, Liu, L., P. Fieguth, D. A. Clausi, and G. Kuang, "Sorted Random Projections for Robust Rotation Invariant Texture Classification", Pattern Recognition, vol.

from Chinese Academy of … 34, issue 3, pp. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is centralized within our Indigenous Initiatives Office. 200 University Ave. West, Waterloo, Ontario, Canada N2L3G1. Department of Civil and Environmental Engineering at University of Waterloo.

degree in Mathematics from Peking University, and the Ph.D. degree in Applied Mathematics from the University of Waterloo.  Liu, L., P. Fieguth, G. Kuang, and H. Zha, "Sorted Random Projections for Robust Texture Classification",International Conference on Computer Vision (ICCV), Barcelona, 2011. Finally, real vehicle testing is implemented and relevant experiment data is collected and calibrated. PRL is a fully data-driven and learning-enabled approach that does not depend on any prediction and predefined rules. Jun LIU, Assistant Professor of University of Waterloo, Waterloo (UWaterloo) | Read 70 publications | Contact Jun LIU 2, pp.

If you are interested in the Liu lab research and are highly motivated, please consider applying a NSERC undergraduate research fellowship. Congratulations to Dr. Tae J. Kwon! See the news article from the University of Waterloo.

The high-level establishes a parallel system first, which includes a real powertrain system and an artificial system. Overview. Bias Field Correction in Endorectal Diffusion Imaging, Enhanced Decoupled Active Contour Using Structural and Textural Variation Energy Functionals, Grid Seams: A fast superpixel algorithm for real-time applications, Hybrid Structural and Texture Distinctiveness Vector Field Convolution for Region Segmentation, Multiplexed Optical High-coherence Interferometry, Statistical Textural Distinctiveness for Salient Region Detection in Natural Images, Fusing Sorted Random Projections for Robust Texture Classification and Material Categorization, BRINT: Binary Rotation Invariant and Noise Tolerant Texture Classification, Sorted Random Projections for Robust Rotation Invariant Texture Classification, Texture classification from random features, Extended Local Binary Patterns for Texture Classification, Median Robust Extended Local Binary Pattern for Texture Classification, Extended Local Binary Pattern Fusion for Face Recognition, BRINT: A Binary Rotation Invariant and Noise Tolerant Texture Descriptor, Generalized Local Binary Patterns for Texture Classification, Sorted Random Projections for Robust Texture Classification, Combining Sorted Random Features for Texture Classification, Compressed sensing for robust texture classification, Texture classification using compressed sensing. Firstly, the powertrain model of the series hybrid electric tracked vehicle (SHETV) is constructed, then the corresponding energy management formulation is established. Institution: University of Waterloo. General Laboratory Safety at Liu Lab at UW (must read and follow) Version 1.0 (Juewen Liu, October 5, 2013) You are required to read and follow this document before you can work in the Liu Lab. This paper presents a novel bidirectional long shortterm memory (LSTM) network based parallel reinforcement learning (PRL) approach to construct EMS for a hybrid tracked vehicle (HTV). 519-888-4567 x37550 Prior to joining the University of Waterloo, he was a Lecturer in Control and Systems Engineering at the University of Sheffield and a Postdoctoral Scholar in Control and Dynamical Systems at the California Institute of Technology. Details, Liu, L., and P. Fieguth, "Texture classification from random features", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. successful graduate schools.

My current researches are both in biomedical imaging and remote sensing. Details, Liu, L., P. Fieguth, L. Zhao, Y.

Teng Liu's Lab. Jun Liu received the B.S. March 30, 2013, four Nanotechnology Engineering co-op students from Liu lab … Details, Liu, L., Y.

Details, Liu, L., P. Fieguth, M. Pietikäinen, and S. Lao, "Median Robust Extended Local Binary Pattern for Texture Classification", IEEE International Conference on Image Processing, Accepted. Chem.  Liu, L., B. Yang, P. Fieguth, Z. Yang, and Y. Wei, "BRINT: A Binary Rotation Invariant and Noise Tolerant Texture Descriptor", International Conference on Image Processing, Melbourne, 2013. degree in Remote Sensing and Geographic Information Systems in 2005 from the National University of Defense Technology, Changsha, China, where she is currently pursuing a Ph.D.  During her PhD study she spent two years as a Visiting Student at the University of Waterloo, Canada, and she has held a visiting appointment at the Peking University in China.

Visit our COVID-19 information website to learn how Warriors protect Warriors. Visit our COVID-19 information website to learn how Warriors protect Warriors. Experimental results validate that the proposed EMS can achieve considerable energy efficiency improvement by comparing with the conventional RL approach and deep RL. March, 2013: The Liu Lab team at the 41st Southern Ontario Undergraduate Student Chemistry Conference (SOUSCC) Jan 2013: we are part of the UW/EcoSynthetix partnership for developing bio-based materials.

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