TY  - CHAP
A1  - Wolf, Martin
A1  - Wiese, Ute
T1  - A comparative transformation model for process changes using serious games
T2  - 2013 IEEE 2nd International Conference on Serious Games and Applications for Health (SeGAH): proceedings of a meeting held 2-3 May 2013, Algarve, Portugal
Y1  - 2013
SN  - 978-1-4673-6164-4
U6  - http://dx.doi.org/10.1109/SeGAH.2013.6665307
SP  - 64
EP  - 70
PB  - Institute of Electrical and Electronics Engineers (IEEE)
CY  - Piscataway, NJ
ER  - 
TY  - CHAP
A1  - Ringbeck, Thorsten
A1  - Hagebeuker, Bianca
ED  - Grün, Armin
T1  - A 3D time of flight camera of object detection
T2  - Optical 3-D measurement techniques VIII : applications in GIS, mapping, manufacturing, quality control, robotics, navigation, mobile mapping, medical imaging, cultural heritage, VR generation and animation; papers presented to the conference organized at ETH Zurich, Switzerland, July 9 - 12, 2007. - Vol. 1
Y1  - 2007
SN  - 3-906467-67-8 (Gesamtwerk)
N1  - Conference on Optical 3-D Measurement Techniques <8, 2007, Zürich>
SP  - 1
EP  - 16
PB  - ETH
CY  - Zürich
ER  - 
TY  - CHAP
A1  - Walter, Peter
A1  - Elsen, Ingo
A1  - Müller, Holger
A1  - Kraiss, Karl-Friedrich
T1  - 3D object recognition with a specialized mixtures of experts architecture
T2  - IJCNN'99. International Joint Conference on Neural Networks. Proceedings
N2  - Aim of the AXON2 project (Adaptive Expert System for Object Recogniton using Neuml Networks) is the development of an object recognition system (ORS) capable of recognizing isolated 3d objects from arbitrary views. Commonly, classification is based on a single feature extracted from the original image. Here we present an architecture adapted from the Mixtures of Eaqerts algorithm which uses multiple neuml networks to integmte different features. During tmining each neural network specializes in a subset of objects or object views appropriate to the properties of the corresponding feature space. In recognition mode the system dynamically chooses the most relevant features and combines them with maximum eficiency. The remaining less relevant features arz not computed and do therefore not decelerate the-recognition process. Thus, the algorithm is well suited for ml-time applications.
Y1  - 1999
SN  - 0-7803-5529-6
U6  - http://dx.doi.org/10.1109/IJCNN.1999.836243
SN  - 1098-7576
N1  - Washington, DC 10-16.07.1999
SP  - 3563
EP  - 3568
PB  - IEEE
CY  - New York
ER  - 
TY  - CHAP
A1  - Heuermann, Holger
A1  - Finger, Torsten
T1  - 2.45 GHz Plasma Powered Spark Plug by Thermal and EM-Optimization
Y1  - 2014
N1  - Ansys High Frequency Simulation Conference - AHFSC 2014, Munich; 02/2014
ER  -