Gerald Friedland (born 1978, Berlin) is a Principal Scientist at Amazon Web Services and an adjunct professor at the Electrical Engineering and Computer Science Department of the University of California, Berkeley.[1][2]
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Defining Moment - Gerald Friedland
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Lecture 12 Gerald Social Implications II a
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Defining Moment - Brian Forsyth
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Education
Gerald Friedland completed his Masters and Doctorate degrees in computer science from Free University of Berlin in 2002 and 2006, respectively.[3] His PhD advisor was Raúl Rojas. He then moved to the International Computer Science Institute where he completed his a postdoc under Nelson Morgan before continuing to be a research scientist and group leader there.[4] He then worked as a Principal Data Scientist at Lawrence Livermore National Lab before co-founding Brainome, Inc.[5] He is a faculty fellow of the Berkeley Institute for Data Science where he has been running a discussion group[6] since 2018, understanding the implications of using information theory as universal tool for modeling. This resulted in a book published in 2024.[7]
Career
Friedland is a computer scientist specializing in the processing and analysis of multimedia data and machine learning.[8] He is mostly known as the original author of the widely used "Simple Interactive Object Extraction" image and video segmentation algorithm,[9][10][11][12][13][14][15][16] created as part of his PhD thesis,[17][18] and as the co-author of a textbook on Multimedia Computing.[19] He also led the initiative to create and release the YFCC100M corpus (see also: List of datasets for machine learning research),[20][21][22] the largest freely available research corpus of consumer-produced videos and images. He co-founded the field of geolocation estimation for images and videos, sometimes also referred to as placing.[23][24][25] Friedland also frequently uncovers privacy risks in multimedia publishing practice[26][27][28][29][30][31][32][33] and heads the development of the teachingprivacy.org[34] portal which provides educational materials for use in US high-schools as part of the AP Computer Science Principles and the Code.org initiative. Friedland is also the co-creator of MOVI, an open-source speech recognition board that allows the creation of cloudless voice interfaces[35] for Internet of things devices.
References
- ^ "Gerald Friedland | EECS at UC Berkeley".
- ^ "Gerald Friedland".
- ^ "Refubium - Suche".
- ^ "Error".
- ^ "Brainome launches product to optimize machine learning development process". ZDNet.
- ^ "Entropy discussion group". 23 August 2019.
- ^ Friedland, Gerald "Information-Driven Machine Learning: Data Science as an Engineering Discipline", Springer-Nature, January 2024.
- ^ Google Scholar list of publications: https://scholar.google.com/citations?user=iBl-QgEAAAAJ
- ^ "Algorithm - What are the standard techniques for removing a segmentation (Such as a human or bird) from a video?".
- ^ "SIOX".
- ^ "Using GIMP's Foreground select tool". 31 August 2013.
- ^ "Paintshopprotutorials.co.uk".
- ^ "Kutout - an application for cutting out images | Hook - Labs". Archived from the original on 2017-07-24. Retrieved 2017-07-16.
- ^ "Fiji plugin based on the SIOX project to segment color images: Fiji/Siox_Segmentation". GitHub. June 2019.
- ^ "SIOX: Simple Interactive Object Extraction".
- ^ Shoou Jiah Yiu, Gerald Friedland: "Method and system for identifying objects in images" US Patent Application US20170132469A1
- ^ Gerald Friedland: "Adaptive Audio- und Videoverarbeitung für elektronische Kreidetafelvorlesungen", Freie Universitaet Berlin, October 2006. http://www.diss.fu-berlin.de/diss/receive/FUDISS_thesis_000000002354
- ^ Gerald Friedland: "Adaptive Audio and Video Processing for Electronic Chalkboard Lectures", Lulu Publishing, ISBN 978-1430303886, December 2006. 2016 reprint: ISBN 978-3-659-97771-8, Lambert Publishing, November 2016.
- ^ Friedland, Gerald and Jain, Ramesh "Multimedia Computing", Cambridge University Press, October 2014.
- ^ Bart Thomee, David A. Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, Li-Jia Li. "YFCC100M: The New Data in Multimedia Research". Communications of the ACM, Vol. 59 No. 2, Pages 64-73
- ^ YFCC100M: YFCC100M
- ^ The Multimedia Commons
- ^ Gerald Friedland, Oriol Vinyals, and Trevor Darrell: "Multimodal Location Estimation", in Proceedings of the ACM International Conference on Multimedia (ACM Multimedia 2010), Florence, Italy, October 2010, pp. 1245-1251.
- ^ Choi, Jaeyoung, Friedland, Gerald "Multimodal Location Estimation of Videos and Images", Springer Publishing October 2014
- ^ Nils Peters, Howard Lei, Gerald Friedland: "Room identification using acoustic features in a recording", US Patent US20140161270A1
- ^ Web Photos That Reveal Secrets, Like Where you Live (New York Times, Aug 11, 2010)
- ^ Tips to Turn Off Geo-Tagging on Your Cell Phone (ABC News, Aug 20, 2010)
- ^ Could you fall victim to crime simply by geotagging location info to your photos? (Digital Trends, Jul 22, 2013)
- ^ Ways to Avoid Email Tracking (New York Times, Dec 25, 2014)
- ^ BodyWorn, the police-worn camera that aims to reduce crime (Fox News, May 19, 2015)
- ^ Paris ISIS Attacks: Tech Industry Says 'Anti-Terror' Back Doors Would Make US Less Safe (International Business Times, Nov 18, 2015)
- ^ Why our Crazy Smart AI still sucks at Transcribing our Speech (Wired Magazine, Apr 8, 2016)
- ^ Transcribing Audio Sucks—So Make Machines Like Trint Do It (Wired Magazine, Apr 26, 2017)
- ^ "Teaching Privacy".
- ^ Gerald Friedland Bertrand Irissou: Method of facilitating construction of a voice dialog interface for an electronic system, US Patent Application US15382163.
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This page was last edited on 19 January 2024, at 06:18