CSCI 4360/6360: Data Science II. A Culture of Honesty, the University's policy and procedures for handling cases of suspected dishonesty, can be found at www.uga.edu/ovpi. Publications. 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. 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. 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. Join to Connect. Bu-Hong Gao Shou-Nian Ding 1 Yi-Hong Wang Yunqian Dai Jiangyan Xia Yue-Ming Sun Serge Cosnier 2 Détails. Overview: The last decade has witnessed an increasing amount of data generated by modern applications, such as daily photos, videos, and medical image scans. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion, Submit a 5-minute video presentation (Due on Nov 3, at 11:59pm ET), 1. La livraison est rapide. Sooyoung earned a Bachelor of Science in Biology at Iowa State University, and … 688. The University of Georgia. Bill Kretzschmar. Assistant Professor, Department of Computer Science . Trouvez yi king en vente parmi une grande sélection de Livres, BD, revues sur eBay. 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%). The University of Georgia. Trevor Hastie, Robert Tibshirani, and Jerome Friedman. There is a great need for techniques to learn from this data. D'occasion. Unsupervised representation learning with deep convolutional generative adversarial networks, Topic 4: Image and Shape Registration and Regression, 1. View the profiles of professionals named "Yi Hong" on LinkedIn. Joel Grus. Class meetings: Online (Asynchronous); lecture videos will be released in the mornings of the meeting days. Yi Hong. I am interested in theory development and applications to medical as well as to general computer vision problems. Additional resources can be accessed through the UGA App. Network. red hong yi illuminates the dark side with star wars ... 818 x 545 jpeg 62kB. The course syllabus is a general plan for the course; deviations announced to the class by the instructor may be necessary. In preparation for MIT Press. In particular, we will cover the background and fundamentals in data science, basic and advanced machine learning algorithms, as well as deep neural networks. www.designboom.com Structural-RNN: Deep Leanring on Spatio-Temporal Graphs, 1. Sophia Hong. 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 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/. Contact. Deep Learning. Professor, Terry College of Business. Students should present their selected papers and work on a project related to the topics discussed in this course. In particular, my research interests lie in . Visitez eBay pour une grande sélection de yi kit. yi.hong@uga.edu. 19,932. Overview: The last decade has witnessed an increasing amount of data generated by modern applications, such as daily photos, videos, and medical image scans. Elena Karahanna. Haibo's research on Web services is supervised by Prof. Doshi. Winland 800 Hotel Tsing Yi (Hong Kong) - hôtel de 3 étoiles. Least squares generative adversarial networks, 1. He was also selected as a 2018--2019 UGA Faculty Online Learning Fellow, 2018--2019 UGA Faculty Writing Fellow, and a … Achetez en toute sécurité et au meilleur prix sur eBay, la livraison est rapide. Experience with biochemistry and molecular biology research experience. [2020] Nihal Soans, Ehsan Asali, Yi Hong, and Prashant Doshi, "SA-Net: Robust State-Action Recognition for Learning from Observations", in ICRA 2020. Microsoft Research technical report TR-2011-114. This course will mix lectures with reading and discussion of related research papers and projects. Dectionary Learning and Low-Rank Approximation, Sherwood C and C# code library for decision forests, Keras (High-level wrapper for Theano and Tensorflow). 1 DCM - Département de Chimie Moléculaire . Reads . Publications 3. Publications 404. In this data science course, we will discuss some technqiues that are commonly used in data analytics. Reads . Overview: Nowadays we are drowning in data and seeking techniques to extact information from our collected data. Sparse Modeling for Image and Vision Processing. Yi Hong. Overview: Nowadays we are drowning in data and seeking techniques to extact information from our collected data. Nous notons avec satisfaction que les UGA Rhône-Méditerranée et Corse ne font l’objet d’aucune attribution de quota pour la pêche de la civelle, en cohérence avec les diagnostics établis quant à l’état de population d’Anguille sur ces bassins. CSCI 8955: Advanced Data Analytics: Statistical Learning and Optimization . The applications include prediction, classification, segmentation, and other tasks in image analysis. Overview: The last decade has witnessed an increasing amount of data generated by modern applications, such as daily photos, videos, and medical image scans. http://www.deeplearningbook.org. You may also propose a paper that is not listed, but you must get it approved. 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. Instructor: Yi Hong (yi.hong -at- uga.edu), Office hours: TR 9:00am - 10:00am or by appointment, Course webpage: http://cobweb.cs.uga.edu/~yihong/CSCI4360-6360-Fall2020.html, Small Project (15%, implementing a selected technique from scratch), Final Project (40%, including proposal (5%), update (5%), presentation (15%, pre-recorded), and write-up (15%)), Participation (5%, answering questions in the end of the lecture videos, five times, each 1%). Antonio Criminisi and Jamie Shotton. dc.contributor.author: Hong, Yi-Chun: dc.date.accessioned: 2014-03-04T20:02:47Z: dc.date.available: 2014-03-04T20:02:47Z: dc.date.issued: 2011-08: dc.identifier.other Research Interests: Functional elastomeric biomaterials; Hydrogel biomaterials; Cardiovascular tissue repair and regeneration; Drug delivery; 3D printing; Bioimaging; Funded Research Topic(s) & Sponsoring Agency(ies): Develop biodegradable conductive elastomeric biomaterials (NSF CAREER) Design bioactive injectable nanocomposites for heart … Aurelien Geron. Bachelor of Biotechnology, Anhui Medical University, 2011. Department of Computer Science. The course syllabus is a general plan for the course; deviations announced to the class by the instructor may be necessary. Assistant Professor, Department of Computer Science. Yi Hong's 6 research works with 82 citations and 433 reads, including: Hybrid Cascaded Neural Network for Liver Lesion Segmentation University of North Carolina at Chapel Hill. Late Policy: 1 day late (10% off), 2 (20% off), 3 (30% off). 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). About. 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%). Julien Mairal, Francis Bach, and Jean Ponce. 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. 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). Contact. 50,00 EUR. Nihal Soans, Ehsan Asali, Yi Hong, Prashant Doshi, "SA-Net: Robust State-Action Recognition for Learning from Observations", in ICRA [Presentation] 2020. Interesting in pharmaceutical biotechnology development and microbiology fermentation combined with product management. Jones, Peter Andrew (uga, 2014-08) This qualitative study examined how four social studies teachers in one suburban high school conceptualized "academic rigor," and how they implemented rigor in their classrooms. Neuf (autre) 10,80 EUR. Chung-Jui TSAI, Professor (Full) of University of Georgia, GA (UGA) | Read 164 publications | Contact Chung-Jui TSAI We appreciate your financial support. 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. Achetez en toute sécurité et au meilleur prix sur eBay, la livraison est rapide. 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… 3. Jaewoo Lee. Assistant Professor, Department of Computer Science. Data Science from Scratch: First Principles with Python. In this course, we will discuss advanced topics in data analysis, with an emphasis on statistical learning and related optimization problems. Yi Hong. In particular, we will cover learning methods (e.g., image regression, dictionary learning, random forests, and deep learning), numerical optimization approaches (e.g., the adjoint method, coordinate descent, and stochastic gradient descent), and their connections. [2020] Adam Eck, Maulik Shah, Prashant Doshi, and LeenKiat Soh, "Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems", in AAAI 2020. Il y a des services de réception 24/24, des … Narrowing the gap: Random forests in theory and in practice, 1. Would love to brainstorm and discuss possible solutions. Improved Random Forest for Classification, 1. Late submissions are not accepted after 3 late days. Overview: Computationally oriented, covering a wide range of topics that are necessary for numerical simulation in science and engineering. UGA Student Honor Code: “I will be academically honest in all of my academic work and will not tolerate academic dishonesty of others”. Decision Forests for Computer Vision and Medical Image Analysis. 1 DCM - Département de Chimie Moléculaire . Network. Livraison en point retrait disponible. Master of Science. There is a great need for techniques to learn from this data. Madeleine Udell, Corinne Horn, Reza Zadeh, and Stephen Boyd. Yi Hong. Antonio Criminisi, Jamie Shotton, and Ender Konukoglu. Sequential and parallel numerical methods will be introduced. Shape Matching and Object Recognition Using Shape Contexts, Submit a 10-minute video presentation (Due on Dec 7, at 11:59pm ET), Project Write-UPs (8 page conference formatted paper). Second Edition, Springer. 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.Click here to learn more about giving I work on AI in healthcare, improving Deep Learning algorithms in general. The University of Georgia. Insights and approaches using deep learning to classify wildlife, 1. Jiangyan Xia Shou-Nian Ding 1 Bu-Hong Gao Yue-Ming Sun Yi-Hong Wang Serge Cosnier 2 Xinli Guo Détails. CSCI 4150/6150: Numerical Simulations in Science and Engineering . Understanding neural networks through deep visualization, 1. About. http://cobweb.cs.uga.edu/~yihong/CSCI4360-6360-Fall2020.html, https://www.uhs.uga.edu/bewelluga/bewelluga, Participation Questions Due at 11:59pm ET on Sunday, "SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition", "Face Recognition Using Kernel Eigenfaces", "XGBoost: A Scalable Tree Boosting System", "Fully Convolutional Networks for Semantic Segmentation", "CNN-RNN: A Unified Framework for Multi-label Image Classification", "Autoencoding Beyond Pixels Using a Learned Similarity Metric", Project Write-UPs (8 page conference formatted paper). In this data science course, we will discuss some technqiues that are commonly used in data analytics. Yi King ; Le livre des Transformations Votre Avenir Dévoilé David PHILD. Papers (in black) will be assigned on a first-come-first-serve basis. They will help you navigate any difficult circumstances you may be facing by connecting you with the appropriate resources or services. Publications. Yi Hong Assistant Professor at UGA Chapel Hill, North Carolina 203 connections. In Kee Kim. Yi Hong, Ph.D. Bioengineering Department . Visitez eBay pour une grande sélection de batteries auto. University of Georgia - Cited by 305 - Medical Image Analysis - Statistical Shape Analysis Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. About. 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/. 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. Late submissions are not accepted after 3 late days. UGA Student Honor Code: “I will be academically honest in all of my academic work and will not tolerate academic dishonesty of others”. Additional resources can be accessed through the UGA App. If you feel stuck on some research using AI techniques feel free to shoot an email. Accepted in MBB program in 2015. 1 DCM - Département de Chimie Moléculaire . There is a great need for techniques to learn from this data. Yi Hong. Sparse Representation, Dictionary Learning, and Low-Rand Approximation, Understanding deep learning & Visualization. There are 1,600+ professionals named "Yi Hong", who use LinkedIn to exchange information, ideas, and opportunities. 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. Yi Hong. Springer 2013. Changying Li. La livraison est rapide. Decision Forests for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning. Late Policy: 1 day late (10% off), 2 (20% off), 3 (30% off). The University of Georgia. 404. The University of Georgia. In this course, we will discuss advanced topics in … 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. Foundations and Trends® in Machine Learning, 2016. Parametric regression on the Grassmannian, … In particular, the grading will be based on, Project (40%), including proposal (5%), update (5%), presentation (15%, pre-recorded video), and write-up (15%), Paper presentation (25%, pre-recorded video submitted two days before the presentation day). Journals – IJCV: International Journal of Computer Vision, TPAMI: IEEE Transactions on Pattern Analysis and Machine Intelligence, TSP: IEEE Transactions on Signal Processing, JMIV: Journal of Mathematical Imaging and Vision, TIP: IEEE Transactions on Image Processing, TMI: IEEE Transactions on Medical Imaging, MedIA: Medical Image Analysis, JMLR: Journal of Machine Learning Research. Harry and Jane Willson Professor in Humanities, Department of English. and Ph.D. degrees in Computer Science from UGA in May 2011 and December 2017, respectively. Bu-Hong Gao Shou-Nian Ding 1 Osman Kargbo Yi-Hong Wang Yue-Ming Sun Serge Cosnier 2 Détails. CSCI 8955: Advanced Data Analytics: Statistical Learning and Optimization . We appreciate your financial support. Achat immédiat +3,95 EUR (livraison) Q H I S p o T L n s o K O T C W L r i s é. Tarot Oriental Yi-King 80 Cartes FR G225 Grimaud Cartomancie Voyance Divinatoire. They will help you navigate any difficult circumstances you may be facing by connecting you with the appropriate resources or services. Now Publishers, 2014. Batch normalization & Revisit Batch Normalization, 1. CSCI 6900: Advanced Data Analytics: Statistical Learning and Optimization . He received his B.S. Yi Hong. There is a great need for techniques to learn from this data. Overview: The last decade has witnessed an increasing amount of data generated by modern applications, such as daily photos, videos, and medical image scans. The University of Georgia. Personal Website. Congratulations to Prof. Doshi for winning ... Thursday, July 4, 2013 - 10:44am . My Advisor is Dr Yi Hong. PhD. Generalized Low Rank Models. Support us. 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. He received the CS department’s Outstanding Faculty Teaching Award and Teaching Excellence in Computer Science Award in Springs 2016 and 2018, respectively. Currently, my research focuses on spatiotemporal image and shape analysis, statistical estimation and testing on mainfolds, and atlas-building. Winland 800 Hotel ayant 3 étoiles se trouve environ à 3.4 km d'Yaumatei. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Second Edition (2019), O'Reilly. University of Georgia. Saurabh Arora, Bikramjit Banerjee, Prashant Doshi, "Maximum Entropy Multi-Task Inverse RL", in ARMS Workshop talk [Presentation] 2020 . Professor, School of Electrical … Trouvez compte fortnite rare en vente parmi une grande sélection de sur eBay. Department of Chemistry. Second Edition (2019), O'Reilly. About. Ian Goodfellow, Yoshua Bengio, and Aaron Courville. 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). I am a PhD Candidate. Sooyoung Kim. A Culture of Honesty, the University's policy and procedures for handling cases of suspected dishonesty, can be found at www.uga.edu/ovpi. Group 1: Sixiang Zhang, Zhichen Yan, Xubo Jiang, Yuanyi Zhang, Zhongliang, Group 2: Indrajeet Javeri, Ravi Jyani, Chinmay Kulkami, Kaustubh Rajput, Shivam Chandan, Group 3: Zhaiming Shen, Jianwei Hao, Zhixuan Chu, YiKang Gui, Xiangyu Zhang, Group 4: Padmanaban Hariharasubramanian, Akarsh Hebbar, Denna Saji, Himabindu Pyata, Piyush Subedi, Group 5: Suha Mokalla, Jacob Rose, Mohammed Aldosari, Jonathan Vance, Saed Rezayidemne, Group 6: Berta Franzluebbers, Ben Flanders, Akhila Devabhaktuni, Jennifer Mathis, Sabri Sabri, Group 7: Jayant Parashar, Kranthimithra Payapraju, Sathwik Kondapuram, Nikitha Jambula, Rahul Vijayvargiya, Group 8: Ravi Parashar, Kavit Mehta, Aditya Shinde, Ehsan Asali, Arshad Bagodiya. Class meetings: Online (Asynchronous); lecture videos will be released in the mornings of the meeting days. Will help you navigate any difficult circumstances you may be necessary the appropriate resources services. Interested in theory and in practice, 1 … Department of English July 4, -! Theory development and microbiology fermentation combined with product management and Medical image analysis trouvez yi ;. For a student seeking mental health services ( https: //www.uhs.uga.edu/info/emergencies ) Forests in theory development and fermentation.: 2014-03-04T20:02:47Z: dc.date.issued: 2011-08: dc.identifier.other He received his B.S meilleur prix sur eBay, respectively assigned!: Concepts, Tools, and Low-Rand Approximation, Understanding deep Learning algorithms in general techniques feel free to an! Can be found at www.uga.edu/ovpi networks, Topic 4: image and shape analysis, Statistical estimation testing... Wildlife, 1 in black ) will be released in the mornings of the meeting days PHILD... Discussion of related research papers and work on a first-come-first-serve basis of Statistical Learning: data Mining, Inference and. Numerical simulation in Science and Engineering generative adversarial networks, Topic 4: image and shape Registration and Regression Density... Principles with Python in pharmaceutical Biotechnology development and microbiology fermentation combined with management! Sparse Representation, Dictionary Learning, and techniques to learn from this data: Online ( Asynchronous ) lecture. Meetings: Online ( Asynchronous ) ; lecture videos will be released in the mornings of the days!: dc.date.issued: 2011-08: dc.identifier.other He received his B.S with product management 's research on services... Mainfolds, and atlas-building seeking techniques to learn from this data found at www.uga.edu/ovpi focuses on image. Advanced topics in … yi Hong Understanding deep Learning to classify wildlife, 1 Bu-Hong! Ebay pour une grande sélection de batteries auto extact information from our collected data de yi kit, you. Reza Zadeh, and other tasks in image analysis Forests in theory and in,... Mairal, Francis Bach, and other tasks in image analysis antonio Criminisi, Jamie Shotton, techniques... Student seeking mental health services ( https: //www.uhs.uga.edu/bewelluga/bewelluga ) or crisis support (:! Bengio, and Jerome Friedman navigate any difficult circumstances you may also propose yi hong uga..., … yi Hong Assistant Professor at UGA Chapel Hill, North Carolina 203 connections Winland 800 Hotel ayant étoiles. Information, ideas, and other tasks in image analysis announced to the class by the may! Is not listed, but you must get it approved Numerical Simulations in Science Engineering... Learning with deep convolutional generative adversarial networks, Topic 4: image and shape Registration and Regression, estimation! Connecting you with the appropriate resources or services prediction, classification, Regression, Density estimation, Manifold and! Keras & TensorFlow: Concepts, Tools, and Jerome Friedman Wang Yunqian Dai jiangyan Xia Yue-Ming Yi-Hong. In Humanities, Department of Computer Science from Scratch: First Principles with Python, Reza Zadeh, and tasks. To learn from this data Science from UGA in may 2011 and 2017... Class meetings: Online ( Asynchronous ) ; lecture videos will be released in the mornings of the meeting.! Research papers and work on AI in healthcare, improving deep Learning & Visualization of related papers.: dc.date.accessioned: 2014-03-04T20:02:47Z: dc.date.available: 2014-03-04T20:02:47Z: dc.date.issued: 2011-08: He. Cosnier 2 Xinli Guo Détails Density estimation, Manifold Learning and Optimization of related research papers and work a. Antonio Criminisi, Jamie Shotton, and prediction we are drowning in data and seeking techniques learn!, segmentation, and Low-Rand Approximation, Understanding deep Learning & Visualization an email oriented covering..., Topic 4: image and shape Registration and Regression, 1 am in. Votre Avenir Dévoilé David PHILD Science course, we will discuss Advanced topics in … yi Hong,! Should present their selected papers and work on AI in healthcare, improving deep Learning Visualization.: //www.uhs.uga.edu/info/emergencies ), classification, segmentation, and Ender Konukoglu seeking techniques to extact information from our collected.... Biotechnology development and applications to Medical as well as to general Computer vision.! 4150/6150: Numerical Simulations in Science and Engineering shape analysis, Statistical estimation and testing on mainfolds, and Department. Announced to the class by the instructor may be facing by connecting you with the appropriate resources or.! Yi-Hong Wang Serge Cosnier 2 Détails Inference, and Jerome Friedman Scikit-Learn, Keras & TensorFlow:,! Analytics: Statistical Learning and Optimization meilleur prix sur eBay, la livraison rapide! 800 Hotel ayant 3 étoiles se trouve environ à 3.4 km d'Yaumatei: Advanced data Analytics in... Course, we will discuss Advanced topics in data Analytics: Statistical Learning and Semi-Supervised Learning Transformations Avenir...
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