Alumni: Dr. Jinkyoo Park Assistant … August dreams: three young hawks rise and fall. Ferguson, Max, and Kincho Law. Max Ferguson Stanford University, Stanford, CA. A pair of Tennessee baseball sophomores — second baseman Max Ferguson and catcher Connor Pavolony — were named Monday to D1Baseball.com's Preseason All-America Team. Raunak Bhinge, Raunak Bhinge Infinite Uptime, Inc., Berkeley, CA . Update npm and node. 1 GAUSSIAN PROCESS REGRESSION (GPR) REPRESENTATION IN PREDICTIVE MODEL MARKUP LANGUAGE (PMML) Jinkyoo Park1, David Lechevalier2, Ronay Ak3, Max Ferguson4, Kincho Law4, Yung-Tsun Tina Lee3, and Sudarsan Rachuri5 Abstract: This paper describes Gaussian Process Regression (GPR) models presented in Predictive Model Markup Language (PMML). Stanford EIG Seongwoon Jeong Max Ferguson. Kincho Law, Max Ferguson. info@max-ferguson.co.uk Instagram: @maxferguson. Search for other works by this author on: … His paper was entitled, Evaluation of a PMML-Based GPR Scoring Engine on a Cloud Platform and Microcomputer Board for Smart Manufacturing. Follow. Cited by. Max Ferguson. Max Ferguson, Stanford. We train and test the Faster R-CNN model using the images Wentao Wang University of Michigan Verified email at umich.edu. PubMed. Ferguson, Max Department of Civil and Environmental Engineering, Stanford University, Stanford, CA. pixels on the shorter edge. Title. Quick Start. 3 Viterbi School of Engineering, University of … 2019. Max Ferguson, Stanford University; Zac Yang, Solutions Engineering, Orbital Insight; Vica Bogaerts, World Bank, USA; Description. I am ‘grateful as’ to my fellow Stanford Kiwis (and co.), for sharing in regular celebrations of New Zealand culture and for continuing to expose me to refreshing renditions of the New Zealand accent long after I lost my own: Thil Arachchi, Sam Corbett-Davies, Max Ferguson… Max Ferguson 1 , Yung-Tsun Tina Lee 2 , Anantha Narayanan 3 , Kincho H Law 1 Affiliations 1 Civil and Environmental Engineering, Stanford University, Y2E2 Building, 473 Via Ortega, Stanford, CA 94305, USA. Max Ferguson was born on February 10, 1924 in Durham, England. Vivian Wen Hui Wong (Stanford University), Max Ferguson (Stanford University), Kincho H. Law (Stanford University), Yung-Tsun Tina Lee (National Institute of Standards and Technology (NIST)) and Paul Witherell (National Institute of Standards and Technology (NIST)). “My preference is to work from life,” he writes. The Region-based Detector returns the class of the defect, as well as the fine-tuned bounding box coordinates. The input to the system is a three-dimensional array of image pixels, in RGB. Automatic Localization of Casting Defects. Images are scaled to 600 Join Facebook to connect with Max Ferguson and others you may know. Han Zou, UC Berkeley. He previously taught for many years at the University of California, Irvine. Automatic Localization of Casting Defects using Convolutional Neural Networks Google Scholar. Cited by. Max graduated with a BE (Hons) from the University of Canterbury in 2013. Rui Hou. Google Scholar. Seongwoon Jeong, Seongwoon Jeong Stanford University, Articles Cited by Co-authors. Automation in construction and facility management could significantly improve efficiency and productivity throughout the lifecycle of modern facilities. Research website for work at Stanford University. Then: Seongwoon Jeong. View the profiles of people named Max Ferguson. Stanford University. 2019. Sort. However, making accurate predictions from raw sensor data is still a difficult challenge. Verified email at stanford.edu. Max Ferguson Ph.D. Student, Civil and Environmental Engineering E-mail: maxferg@stanford.edu. Vivian Wen Hui Wong (Stanford University), Max Ferguson (Stanford University), Kincho H. Law (Stanford University), Yung-Tsun Tina Lee (National Institute of Standards and Technology (NIST)) and Paul Witherell (National Institute of Standards and Technology (NIST)) 10:45-11:05 AI for Machining, Assembly/Process Control and Optimization Part I AI Enabled … Stanford University, +2 more. Project Team: Kincho Law, Max Ferguson. Structural Engineering & Geomechanics PhD's Seongwoon Jeong and Max Ferguson (Stanford EIG) won the PHI Challenge in the Engineering Category. Max Ferguson Stanford University Verified email at stanford.edu. Ferguson was tabbed a first-team selection at second base while Pavolony garnered second-team honors at catcher. "A Generalized Method for Featurization of Manufacturing Signals, With Application to Tool Condition Monitoring." At the same … Each anchor is evaluated by the Region Proposal Network to determine if it is likely to contain a casting defect. The site facilitates research and collaboration in academic endeavors. In this case, the model returns the coordinates of three bounding boxes containing defects. A significant research Stanford ENGINEERING Mentor: Ahmadreza Momeni Improving Mobile Robot Navigation with Deep Neural Robot Control JUNË.. 1891 Max Ferguson CS230 Deep Learning Navigation and Control with Deep Reinforcement Learning Introduction We propose a new method which combines Narayanan, Anantha Viterbi School of Engineering, University of Southern California, Los Angeles, CA. IEEE Winter Conference on Applications of Computer Vision (WACV). Max Ferguson Stanford University Stanford, CA, USA Kincho H. Law Stanford University Stanford, CA, USA Raunak Bhinge Infinite Uptime, Inc. Berkeley, CA, USA Yung-Tsun Tina Lee National Institute of Standards and Technology (NIST) Gaithersburg, MD, USA ABSTRACT The application of machine learning techniques in the manufacturing sector provides Content may be subject to copyright. Max Ferguson Department of Civil and Environmental Engineering Stanford University Stanford, CA, United States Email: maxferg@stanford.edu Abstract—In recent times, there has been a large amount of excitement surrounding the use of reinforcement learning systems for robot control and navigation. New York City-born realist painter Max Ferguson focuses on the people, places, and urban scenes of his hometown. Max Ferguson Stanford University, Stanford, CA. 2018. We demonstrate that the system can be used to detect defects in a range of other defects in metal materials. Current Role at StanfordJeff Gordon is the Associate Director of Corporate Relations in Stanford’s School of Engineering. Max Ferguson Stanford University maxferg@stanford.edu Kincho Law Stanford University law@stanford.edu Abstract Automation in facility management and construction 27 Methodology • Transfer Learning ResNet [He et al., 2015] Shetland sheepdog Tiger cat Steel arch bridge conv2_x 3x3 conv, 64 conv3_x 3x3 conv, 128 conv4_x conv1 l 3x3 conv, 256 conv2_x 3x3 conv, 64 conv3_x 3x3 conv, 128 conv4_x 3x3 conv, 256 conv5_x conv1 l 3x3 conv, 512 0 3. ‪Stanford University‬ - ‪Cited by 141‬ - ‪Artificial Intelligence‬ - ‪Machine Learning‬ - ‪Manufacturing‬ Google Scholar. View Max Ferguson’s profile on LinkedIn, the world's largest professional community. Computer Vision Natural Language Processing Machine Learning … M. Ferguson1, R. Bhinge2, J. Park3, Y. T. Lee4, and K. H. Law1 Abstract With recent advances in sensor and computing technology, it is now possible to use real-time machine learning techniques to monitor the state of manufacturing machines. You may have used an out-dated link or typed the address (URL) incorrectly. Seongwoon Jeong Ph.D. Student, Civil and Environmental Engineering E-mail: swjeong3@stanford.edu. Romie-O and Julie-8 (1979). We do not apply any other form of Seongwoon Jeong, Seongwoon Jeong Stanford University, Stanford, CA. Sort by citations Sort by year Sort by title. Max Ferguson from Christchurch completed a Master of Science degree in Civil Engineering, specialising in structural and geotechnical engineering, at Stanford University. Fine tuning & feature … In this role he works with faculty and colleagues to advance the School's corporate partnership programs, build long-term relationships with companies, and increase the flow of industry support to the School through gifts, affiliate memberships, and sponsored research. The page you requested cannot be found. Facilitating Dynamic Building Information Models with Mobile Robots. Grad Student, Max Ferguson, was recognized for the Achievement of Best Paper at the 2016 IEEE Big Data Conference in Washington, D.C. on December 7, 2016. Year; An information modeling framework for bridge monitoring. His research has focused on southern Africa (especially Lesotho, Zambia, South Africa, and Namibia), and has engaged a broad range of theoretical and ethnographic issues. Publications Port Magazine Splash & Grab Financial Times Magazine Financial Times Life & Arts Photoworks How To Spend It TenTen British Journal of Photography Huck. Next install the required packages: conda env create -f … Computer Science Category - Kar98K; Jianfei Yang, Nanyang Technological University. Follow. Stanford ENGINEERING Mentor: Ahmadreza Momeni Improving Mobile Robot Navigation with Deep Neural Robot Control JUNË.. 1891 Max Ferguson CS230 Deep Learning Navigation and Control with Deep Reinforcement Learning Introduction We propose a new method which combines reinforcement learning with traditional search- based path-planning, to solve long … Vivian Wen Hui Wong (Stanford University), Max Ferguson (Stanford University), Kincho H. Law (Stanford University), Yung-Tsun Tina Lee (National Institute of Standards and Technology (NIST)) and Paul Witherell (National Institute of Standards and Technology (NIST)). lifeline when things got tough. Occasionally, when sensors become … technique is applied to artificially increase the size of the KNOXVILLE, Tenn. – Tennessee’s sophomore duo of Max Ferguson and Connor Pavolony earned preseason All-America honors by D1Baseball.com on Monday. Follow. Start by cloning this repository and downloading the GDXray dataset. Max Ferguson Promoting open and free access to computer technologies Palo Alto, California, United States 440 connections There are 40+ professionals named "Max Ferguson", who use LinkedIn to exchange information, ideas, and opportunities. A grid of anchors. Research Scientist, Facebook AI. M. Ferguson, R. Ak, S. Jeong and K. H. Law, "Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning", Smart and Sustainable Manufacturing Systems. Proceedings of the ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference . vwwong3@stanford.edu Max Ferguson Engineering Informatics Group Civil and Environmental Engineering Stanford University Stanford, United States maxferg@stanford.edu Kincho H. Law Engineering Informatics Group Civil and Environmental Engineering Stanford University Stanford, United States law@stanford.edu Yung-Tsun Tina Lee Systems Integration Division National … If you entered the URL manually, please check your spelling and try again. 1 Max Ferguson is with Department of Civil and Environmen-tal Engineering, Stanford University, Stanford, CA 94305, USA maxferg@stanford.edu 2 Kincho H. Law is with the Faculty of the Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA law@stanford… Search for other works by this author on: This Site. Friday 29 November, 11:00 – 12:30, Nicolae Balcescu Room . Max graduated with a BE (Hons) from the University of Canterbury in 2013. Research Overview Observed Problem: Having an accessible and constantly-updated digital model of a facility or construction site could lead to significant improvements in safety, energy efficiency and worker productivity. [2] In 1926, with Max barely past his second birthday, the Ferguson family emigrated to Canada, departing from Cobh, Ireland on the 22nd May aboard the Minnedosa , and arriving in Montreal, Quebec on the 29th. Google Scholar. Grad Student, Max Ferguson, was recognized for the Achievement of Best Paper at the 2016 IEEE Big Data Conference in Washington, D.C. on December 7, 2016. 25 Stanford. Connor Pavolony and Max Ferguson – UT Baseball / Credit: UT Athletics. Cloud computing database structural health monitoring. Cloud computing database structural health monitoring. Leticia Rosa dos Santos Cordeiro Ph.D. Student, Civil and Environmental Engineering E-mail: lrsc@stanford.edu. Start by cloning this repository and downloading the GDXray dataset. Palo Alto, CA. In this project, we aim to leverage recent advances in computer vision to create a system for automatic detection of casting defects. Max Ferguson was born on the 10th February 1924, in Crook, Durham, England, the second son of William George (George) Ferguson and Isabella Frances (Isabel) née Finnegan. [Paper]. This data augmentation All content in this area was uploaded by Max Ferguson on Nov 27, 2018 . Max Ferguson Stanford University, Stanford, CA. 1. "A 2D-3D Object Detection System for Updating Building Information Models with Mobile Robots." Zhaoyang Zeng, Sun Yat-sen University. Then: Max Ferguson Department of Civil and Environmental Engineering Stanford University Stanford, CA, United States Email: maxferg@stanford.edu Abstract—In recent times, there has been a large amount of excitement surrounding the use of reinforcement learning systems for robot control and navigation. Research website for work at Stanford University. 2018 PEER Blind Prediction Contest Winning Teams and Individuals. Max Ferguson. Max Ferguson Stanford University Verified email at stanford.edu. First Place- Tokyo Electric Power Services Co., Ltd. - Yukio … Manufacturing Automated Inspection Dynamic Spatial Models. from the GDXray Castings dataset. Seongwoon Jeong. Professor, Anthropology James Ferguson is the Susan S. and William H. Hindle Professor in the School of Humanities and Sciences, and Professor in the Department of Anthropology. echoes of a change three small pebbles everything must decay. Search for other works by this author on: This Site. We use the ResNet-101 convolutional neural network to generate a featurized representation of input images. PubMed. The input image can have any size, but we choose to resize the image to have a maximum side length of 600 px. Robb Report Eye-popping, exciting, serious, and challenging. Ferguson is advised by Professor Kincho Law. Max Ferguson. Max Ferguson Engineering Informatics Group Civil and Environmental Engineering Stanford University Stanford, United States maxferg@stanford.edu Ronay Ak Systems Integration Division National Institute of Standards and Technology (NIST) Gaithersburg, United States ronay.ak@nist.gov Yung-Tsun Tina Lee Systems Integration Division National Institute of … Stanford University, +1 more. Additionally, we randomly flip the In this project, we aim to leverage recent advances in computer vision to create a system for automatic detection of casting defects. Ferguson, Max, and Kincho Law. E-mail: pparigi@stanford.edu. "A 2D-3D Object Detection System for Updating Building Information Models with Mobile Robots." James Ferguson is the Susan S. and William H. Hindle Professor in the School of Humanities and Sciences, and Professor in the Department of Anthropology. Search for other works by this author on: This Site. AI for Machining, Assembly/Process Control and Optimization AI Enabled Manufacturing for Those Who Make … M. Ferguson, R. Ak, Y. T. Tina Lee, K. H. Law However, for robots and autonomous systems to operate in effectively in … Law, Kincho H. M. Ferguson, R. Ak, S. Jeong and K. H. Law, "Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning", Smart and Sustainable Manufacturing Systems. Max has 3 jobs listed on their profile. Title. 1 GAUSSIAN PROCESS REGRESSION (GPR) REPRESENTATION IN PREDICTIVE MODEL MARKUP LANGUAGE (PMML) Jinkyoo Park1, David Lechevalier2, Ronay Ak3, Max Ferguson4, Kincho Law4, Yung-Tsun Tina Lee3, and Sudarsan Rachuri5 Abstract: This paper describes Gaussian Process Regression (GPR) models presented in Predictive Model Markup Language (PMML). Ferguson, Max, Seongwoon Jeong, and Kincho H. Law. Nonlinear response history analysis is used to … Max Ferguson is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more). 2 Systems Integration Division, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD 20899, USA. The proposed defect detection system is based on the Mask R-CNN architecture [1]. Max Ferguson - Research. School of Earth, Energy and Environmental Sciences, Freeman Spogli Institute for International Studies, Institute for Computational and Mathematical Engineering (ICME), Institute for Human-Centered Artificial Intelligence (HAI), Institute for Stem Cell Biology and Regenerative Medicine, Stanford Institute for Economic Policy Research (SIEPR), Stanford Woods Institute for the Environment, Office of VP for University Human Resources, Office of Vice President for Business Affairs and Chief Financial Officer. Inspired by Edward Hopper, 17th-century Dutch genre painting, and the Old Masters, he produces studied paintings in oil or watercolor on canvas or wooden panel, which take two-to-four months to complete. View the profiles of professionals named "Max Ferguson" on LinkedIn. Max Ferguson whistling for owls; art direction; words; about; splash & grab . Getting Started . Max Ferguson from Christchurch completed a Master of Science degree in Civil Engineering, specialising in structural and geotechnical engineering, at Stanford University. His paper was entitled, Evaluation of a PMML-Based GPR Scoring Engine on a Cloud Platform and Microcomputer Board for Smart Manufacturing. The output of the defect detection system. Quick Start. Search for other works by this author on: This Site. A significant research effort has been directed at the problem of visual … Ferguson is advised by Professor Kincho Law. His paper was entitled, Evaluation of a PMML-Based GPR Scoring Engine on a Cloud Platform and Microcomputer Board for Smart Manufacturing. In this paper, we describe how a data processing … Verified email at stanford.edu. Manufacturing Automated Inspection Dynamic Spatial Models. Seongwoon Jeong*, Max Ferguson, Kincho H. Law Department of Civil and Environmental Engineering, Stanford University Stanford, CA 94305, USA ABSTRACT With advances in sensing and communication technologies, engineering systems are now commonly instrumented with sensors for system monitoring and management. "Worksite Object Characterization for Automatically Updating Building Information Models. preprocessing to the images at training or testing time. Ferguson is advised by Professor Kincho Law. Max Ferguson Stanford University Verified email at stanford.edu. Stanford University. Mobile robot navigation using stochastic neural control in (a) … The output is a list of bounding box coordinates. "Worksite Object Characterization for Automatically Updating Building Information Models. Max Ferguson - Research. PubMed. Google Scholar. Ferguson, Max, Seongwoon Jeong, and Kincho H. Law. Kincho H. Law, Kincho H. Law Stanford University, Stanford, CA. Verified email at fb.com. Training on GDXray Casting Set # Python 3.6 python gdxray.py \ --dataset= … Grad Student, Max Ferguson, was recognized for the Achievement of Best Paper at the 2016 IEEE Big Data Conference in Washington, D.C. on December 7, 2016. Transfer l r 4 4. 2018. Exhibitions New Wave Me, Upcoming My London, 2019 Peckham 24, 2019 Construction, 2019 Max Ferguson, maxkferg@stanford.edu, Amory Martin, amorym@stanford.edu Department of Civil & Environmental Engineering, Stanford University CS 229 Machine Learning - Final Project December 12, 2015 Abstract A classi cation algorithm is developed for evaluating the damage state of buildings subjected to earthquakes. The Offices of the Provost, the Dean of Humanities and Sciences, and the Dean of Research, Stanford University The SEP Library Fund: containing contributions from the National Endowment for the Humanities and the membership dues of academic and research libraries that … IEEE Winter Conference on Applications of Computer Vision (WACV). Ferguson, ... No. Lee, Yung-Tsun Tina Systems Integration Division, National Institute of Standards and Technology, Gaithersburg, MD. PubMed. 1 Max Ferguson is with Department of Civil and Environmen-tal Engineering, Stanford University, Stanford, CA 94305, USA maxferg@stanford.edu 2 Kincho H. Law is with the Faculty of the Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, USA law@stanford.edu Fig. Max Ferguson, maxkferg@stanford.edu, Amory Martin, amorym@stanford.edu Department of Civil & Environmental Engineering, Stanford University CS 229 Machine Learning - Final Project December 12, 2015 Abstract A classi cation algorithm is developed for evaluating the damage state of buildings subjected to earthquakes. S Jeong, R … Max Ferguson (2) INF - CAREER HIGHS Runs Scored: 2 (5x) // last vs. Houston, 2/22/20 Hits: 2 (9x) // last vs. ETSU, 3/10/20 Doubles: 1 (3x) // last While recent advances in machine learning have made such a system feasible, the interactions between people and an … He was an actor and writer, known for Hulk (1966), Folio (1955) and Runaway Robots! Ferguson, M, Law, KH, Bhinge, R, & Lee, YT. Kai Wang, Shenzhen Institute of Advanced Technology. Search for other works by this author on: This Site. A pair of Tennessee baseball sophomores — second baseman Max Ferguson and catcher Connor Pavolony — were named Monday to D1Baseball.com's Preseason All-America Team. training dataset. The Pacific Earthquake Engineering Research (PEER) Center organized the first image-based structural damage recognition competition, namely PEER Hub ImageNet (PHI) Challenge, which was held at the end of … images horizontally at training time. Max Ferguson, Actor: Hulk. Max Ferguson Research Assistant at Stanford University. In the last decade, the number of satellites orbiting the earth has increased significantly and high-resolution satellite imagery has become more accessible and affordable. AI for Machining, Assembly/Process Control and Optimization AI Enabled Manufacturing for Those Who Make … He died on March 7, 2013 in Toronto, Ontario, Canada. Having an accessible and constantly-updated digital model of a facility or construction site could lead to significant improvements in safety, energy efficiency and worker productivity. Update npm and node. These featurized images are passed into a Region Proposal Network, which selects 300 regions in the image that might contain defects. Search for other works by this author … Installation . Faculty, Research Associates and Staff; Post-Docs and Research Students; Visiting Professors and Researchers Quietly contemplative in the tradition of Hopper, but has a mysterious edge that is Ferguson's alone. Each of these regions are analyzed using a separate Region-based Detector. Kincho H. Law, Kincho H. Law Stanford University, Stanford, CA. PubMed. Articles Cited by Co-authors. Peng (Patrick) Sun Assistant Professor, CECE Department, University of Central Florida Verified email at ucf.edu. ” he writes Verified email at umich.edu selection at second base while Pavolony garnered second-team honors catcher. Casting defects however, making accurate predictions from raw sensor data is still a difficult.... Effectively in … Max Ferguson ’ s profile on LinkedIn, the returns. Sensors become … Max Ferguson Ph.D. Student, Civil and Environmental Engineering E-mail: lrsc @.. ; Description, Gaithersburg, MD 20899, USA using the images at training time Information framework. In computer vision ( WACV ), 11:00 – 12:30, Nicolae Balcescu Room ”. E-Mail: lrsc @ stanford.edu Bogaerts, World Bank, USA ; Description to detect in... System is based on the Mask R-CNN architecture [ 1 ] anchor is by... 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