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Matthias Reso - Temporally Consistent Superpixels

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Matthias Reso

Temporally Consistent Superpixels

Series: Informatik/ Kommunikation

Volume 861 2018

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Bibliography S. 109-122

„… application to stereo vision. In Proceedings of the International Joint Conference on Artificial Intelligence …” „… Intelligence, 34(11):2274–2282, 2012. [2] P. Anandan. A computational framework and an algorithm for the …” „… Transactions on Pattern Analysis and Machine Intelligence, 33(5):898–916, May 2011. [4] X. Bai, J. Wang, D …”

doi.org/10.51202/9783186861108

Arne Ehlers - Object Detection using Feature Mining in a Distributed Machine Learning Framework

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Arne Ehlers

Object Detection using Feature Mining in a Distributed Machine Learning Framework

Series: Informatik/ Kommunikation

Volume 855 2017

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Bibliography S. 138-152

„… Features and Examples in Machine Learning. Artificial Intelligence, 97(1-2):245–271, 1997. [24] G. Bradski …” „… (ICCV), 2003. [125] S. J. Russell and P. Norvig. Artificial Intelligence: A Modern Approach. Pearson …” „… Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 17(8):790–799, 1995. [31] D. Comaniciu and P …”

doi.org/10.51202/9783186855107

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wt Werkstattstechnik online

Browse Volumes: wt Werkstattstechnik online

wt Volume 109 (2019) Issue 11-12 ISSN Online: 1436-4980

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P. Gembaczka Machine Learning für Sensoren S. 845-846

„… (Artificial Intelligence for Embedded Systems) hat ein Forscherteam am Fraun hofer IMS diese Vision nun …” „… (0)203 / 3783-220 pierre.gembaczka@ims. fraunhofer.de www.aifes.de Bild 2. Artificial Intelligence …”

F. Schäfer, E. Schwulera, H. Otten, J. Franke Der Weg von Descriptive zu Predictive Six Sigma/The path from descriptive to predictive Six Sigma S. 807-810

„… and artificial intelligence. The classical Six Sigma training provides a good basis for this change …” „… artificial intelligence. The classical Six Sigma training provides a good basis for this change to broaden …”

Y. Hedicke-Claus, J. Langner, M. Stonis, B.-A. Behrens Klassifizierung von Schmiedeteilen mittels KNN/AI enables automated recognition and classification of geometrically complex forged parts S. 822-827

„… classification of forged parts for classification into the Spies order of shapes by artificial neural networks …” „… .: Computational intelligence. Vieweg+ Teubner 2011 [10] Kriesel, D.: Ein kleiner überblick über Neuronale Netze …” „… for classification into the Spies order of shapes by artificial neural networks. The aim is to develop …”

doi.org/10.37544/1436-4980-2019-11-12

Georg Tanzmeister - Grid-based Environment Estimation for Local Autonomous Vehicle Navigation

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Georg Tanzmeister

Grid-based Environment Estimation for Local Autonomous Vehicle Navigation

Series: Mess-, Steuerungs- und Regelungstechnik

Volume 1246 2016

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Bibliography S. 137-154

„… Conference on Artificial Intelligence, 2002, pp. 593–598. [112] M. Montemerlo, J. Becker, S. Bhat, H …” „… Artificial Intelligence, 2007, pp. 1177– 1183. [117] National Highway Traffic Safety Administration (NHTSA …” „… model,” Artificial Intelligence, vol. 66, no. 2, pp. 191–234, Apr. 1994. [146] Statistisches Bundesamt …”

Introduction S. 1-9

„… artificial intelligence. If the vehicle needs to find the course to maneuver by itself, the requirements for …” „… Robust algorithmic intelligence Map and localization precision Sensor precision and redundancy …”

doi.org/10.51202/9783186246080

Jan Werrmann - AIRS – Advanced Ontology-based Information Retrieval System

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Jan Werrmann

AIRS – Advanced Ontology-based Information Retrieval System

Series: Informatik/ Kommunikation

Volume 849 2016

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Bibliography S. 158-166

„… in artificial intelligence, 2009:4, 2009. [82] Y. Sure, M. Ehrig, and R. Studer. Automatische …” „… ), pages 73–82, 2000. [2] S. Alag. Collective Intelligence in Action. Manning Publications, 2008. [3] H …” „… 20–26, 1999. [10] H. Chen, R. H. L. Chiang, and V. C. Storey. Business Intelligence and Analytics: From …”

doi.org/10.51202/9783186849106

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