Papers (in black) will be assigned on a first-come-first-serve basis. Improved Random Forest for Classification, 1. Insights and approaches using deep learning to classify wildlife, 1. Publications 3. Instructor: Yi Hong (yi.hong -at- uga.edu), Office hours: TR 10:00am - 11:00am or by appointment, Course webpage: http://cobweb.cs.uga.edu/~yihong/CSCI8955-Fall2020.html, Sparse representation, dictionary learning, and low-rank approximation, Random forests: classification forests and regression forests, Deep learning: convolutional neural networks (CNNs) and recurrent neural networks (RNNs), Image and shape regression: cross-sectional and longitudinal studies. 50,00 EUR. The University of Georgia. UGA has several resources for a student seeking mental health services (https://www.uhs.uga.edu/bewelluga/bewelluga) or crisis support (https://www.uhs.uga.edu/info/emergencies). Sequential and parallel numerical methods will be introduced. There are 1,600+ professionals named "Yi Hong", who use LinkedIn to exchange information, ideas, and opportunities. UGA has several resources for a student seeking mental health services (https://www.uhs.uga.edu/bewelluga/bewelluga) or crisis support (https://www.uhs.uga.edu/info/emergencies). Yi Hong Assistant Professor: yi.hong@uga.edu (706) 542-2911: Maria Hybinette Associate Professor: i ngrid@uga.edu (706) 542-6642: Manijeh Keshtgari Lecturer: M.keshtgari@uga.edu (706) 542-2911: Mustakimur Rahman Khandaker Assistant Professor: mrkhandaker@uga.edu (706) 542-2911: In Kee Kim Assistant Professor: inkee.kim@uga.edu (706) 542-2911: Krzysztof J. Kochut Professor: k kochut@uga… 1 DCM - Département de Chimie Moléculaire . In particular, we will cover the background and fundamentals in data science, basic and advanced machine learning algorithms, as well as deep neural networks. There is a great need for techniques to learn from this data. Contact. I am interested in theory development and applications to medical as well as to general computer vision problems. Bu-Hong Gao Shou-Nian Ding 1 Yi-Hong Wang Yunqian Dai Jiangyan Xia Yue-Ming Sun Serge Cosnier 2 Détails. This course is targeted towards graduate students, and the lectures will be based on articles from journals and conferences in the field of computer vision and medical image analysis. Conferences – MICCAI: Medical Image Computing and Computer Assisted Intervention, IPMI: Information Processing in Medical Imaging, ISBI: International Symposium on Biomedical Imaging, ICML: International Conference on Machine Learning, CVPR: IEEE Conference on Computer Vision and Pattern Recognition, ECCV: European conference on Computer Vision, ICCV: International Conference on Computer Vision, NIPS: Neural Information Processing Systems, ICLR: International Conference on Learning Representations. Reads . The University of Georgia. Achetez en toute sécurité et au meilleur prix sur eBay, la livraison est rapide. I am a PhD Candidate. Unsupervised representation learning with deep convolutional generative adversarial networks, Topic 4: Image and Shape Registration and Regression, 1. Your gift is important to us and helps support critical opportunities for students and faculty alike, including lectures, travel support, and any number of educational events that augment the classroom experience. If you or someone you know needs assistance, you are encouraged to contact Student Care and Outreach in the Division of Student Affairs at 706-542-7774 or visit https://sco.uga.edu/. Grading scale: A: [93% - 100%], A-: [90% - 93%), B+: [87% - 90%), B: [83% - 87%), B-: [80% - 83%), C+: [77%, 80%), C:[70%, 77%), C-:[65% - 70%), D:[60% - 65%), F: [0% - 60%). Overview: Computationally oriented, covering a wide range of topics that are necessary for numerical simulation in science and engineering. About. About. Achetez en toute sécurité et au meilleur prix sur eBay, la livraison est rapide. A Culture of Honesty, the University's policy and procedures for handling cases of suspected dishonesty, can be found at www.uga.edu/ovpi. Sooyoung earned a Bachelor of Science in Biology at Iowa State University, and … If you or someone you know needs assistance, you are encouraged to contact Student Care and Outreach in the Division of Student Affairs at 706-542-7774 or visit https://sco.uga.edu/. Overview: Nowadays we are drowning in data and seeking techniques to extact information from our collected data. Aurelien Geron. Saurabh Arora, Bikramjit Banerjee, Prashant Doshi, "Maximum Entropy Multi-Task Inverse RL", in ARMS Workshop talk [Presentation] 2020 . Contact. Currently, my research focuses on spatiotemporal image and shape analysis, statistical estimation and testing on mainfolds, and atlas-building. Yi Hong. There is a great need for techniques to learn from this data. Yi Hong. 404. Grading scale: A: [93% - 100%], A-: [90% - 93%), B+: [87% - 90%), B: [83% - 87%), B-: [80% - 83%), C+: [77%, 80%), C:[70%, 77%), C-:[65% - 70%), D:[60% - 65%), F: [0% - 60%). Would love to brainstorm and discuss possible solutions. Overview: The last decade has witnessed an increasing amount of data generated by modern applications, such as daily photos, videos, and medical image scans. Accepted in MBB program in 2015. Department of Computer Science. Foundations and Trends® in Machine Learning, 2016. The University of Georgia. [2020] Nihal Soans, Ehsan Asali, Yi Hong, and Prashant Doshi, "SA-Net: Robust State-Action Recognition for Learning from Observations", in ICRA 2020. Professor, Terry College of Business. In the end of this course, the students are able to master basic concepts, classical techniques, and useful tools in data science, and are able to analyze their data using the techniques covered in this course. CSCI 8955: Advanced Data Analytics: Statistical Learning and Optimization . Congratulations to Dr. Prashant Doshi (PI) and Dr. Yi Hong (Co-PI) for receiving a 3-year NSF grant for the proposal titled: "NRI: FND: ... Haibo Zhao, for winning the 2008-09 UGA's Dissertation Completion Award. Participation (15%), including study group (5%，submit questions three days before the presentation day), and presenation evaluation (10%, submit evaluation forms at 11:59pm ET on the presentation day). 688. http://cobweb.cs.uga.edu/~yihong/CSCI8955-Fall2020.html, https://www.uhs.uga.edu/bewelluga/bewelluga, Topic 1: Sparse Represenation, Dictionary Learning, and Low-Rank Approximation, Optimization for Sparse Coding and Dictionary Learning I, Optimization for Sparse Coding and Dictionary Learning II, Low Rank Approximation and Optimization II, Topic 1 Summary Due on Sunday, at 11:59pm ET, Classification Forests and Regression Forests, "An introduction to random forests for multi-class object detection", "Incremental learning of random forests for large-scale image classification", 1. Overview: Nowadays we are drowning in data and seeking techniques to extact information from our collected data. Understanding neural networks through deep visualization, 1. Yi Hong. He was also selected as a 2018--2019 UGA Faculty Online Learning Fellow, 2018--2019 UGA Faculty Writing Fellow, and a … D'occasion. Yi Hong. Yi Hong. Overview: The last decade has witnessed an increasing amount of data generated by modern applications, such as daily photos, videos, and medical image scans. Yi Hong's 6 research works with 82 citations and 433 reads, including: Hybrid Cascaded Neural Network for Liver Lesion Segmentation Sooyoung Kim. Data Science from Scratch: First Principles with Python. We appreciate your financial support. I work on AI in healthcare, improving Deep Learning algorithms in general. Top-down Visual Saliency via joint CRF and Dictionary Learning, "Linear spatial pyramid matching using sparse coding for image classification", Submit 1-page proposal and 5-minute video presentation (due on Sep 29, at 11:59pm ET), 1. If you need help managing stress anxiety, relationships, etc., please visit BeWellUGA (https://www.uhs.uga.edu/bewelluga/bewelluga) for a list of FREE workshops, classes, mentoring, and health coaching led by licensed clinicians and health educators in the University Health Center. yi.hong@uga.edu. red hong yi illuminates the dark side with star wars ... 818 x 545 jpeg 62kB. Publications 404. He received the CS department’s Outstanding Faculty Teaching Award and Teaching Excellence in Computer Science Award in Springs 2016 and 2018, respectively. Yi Hong Assistant Professor at UGA Chapel Hill, North Carolina 203 connections. Visitez eBay pour une grande sélection de yi kit. Late Policy: 1 day late (10% off), 2 (20% off), 3 (30% off). No prior experience in computer vision or medical image analysis is required, while some exposure to image analysis, machine learning, or numerical computation is highly recommended. 19,932. CSCI 4360/6360: Data Science II. Springer 2013. Support us. Julien Mairal, Francis Bach, and Jean Ponce. Microsoft Research technical report TR-2011-114. Policy and procedures for handling cases of suspected dishonesty, can be through! Named `` yi Hong Assistant Professor at UGA Chapel Hill, North Carolina 203.... 800 Hotel Tsing yi ( Hong Kong ) - hôtel de 3 étoiles in image analysis Learning, techniques... Hong Assistant Professor at UGA Chapel Hill, North Carolina 203 connections deep convolutional adversarial! In practice, 1, improving deep Learning & Visualization a PhD.... Extact information from our collected data generative adversarial networks, Topic 4: image and shape Registration Regression... Announced to the class by the instructor may be necessary Aaron Courville you feel stuck on some research AI! & TensorFlow: Concepts, Tools, and opportunities assigned on a project related to the topics in. Focuses on spatiotemporal image and shape analysis, with an emphasis on Statistical and... 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