Multi-objective neural network optimization for visual object detection
Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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Multi-objective neural network optimization for visual object detection. / Roth, Stefan; Gepperth, Alexander; Igel, Christian.
Multi-objective machine learning. ed. / Yaochu Jin. Vol. V 2006. p. 629-655 (Studies in Computational Intelligence, Vol. 16).Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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TY - CHAP
T1 - Multi-objective neural network optimization for visual object detection
AU - Roth, Stefan
AU - Gepperth, Alexander
AU - Igel, Christian
PY - 2006
Y1 - 2006
N2 - In real-time computer vision, there is a need for classifiers that detect patterns fast and reliably. We apply multi-objective optimization (MOO) to the design of feed-forward neural networks for real-world object recognition tasks, where computational complexity and accuracy define partially conflicting objectives. Evolutionary structure optimization and pruning are compared for the adaptation of the network topology. In addition, the results of MOO are contrasted to those of a single-objective evolutionary algorithm. As a part of the evolutionary algorithm, the automatic adaptation of operator probabilities in MOO is described.
AB - In real-time computer vision, there is a need for classifiers that detect patterns fast and reliably. We apply multi-objective optimization (MOO) to the design of feed-forward neural networks for real-world object recognition tasks, where computational complexity and accuracy define partially conflicting objectives. Evolutionary structure optimization and pruning are compared for the adaptation of the network topology. In addition, the results of MOO are contrasted to those of a single-objective evolutionary algorithm. As a part of the evolutionary algorithm, the automatic adaptation of operator probabilities in MOO is described.
U2 - 10.1007/11399346_27
DO - 10.1007/11399346_27
M3 - Book chapter
AN - SCOPUS:33845294450
SN - 978-3-540-30676-4
VL - V
T3 - Studies in Computational Intelligence
SP - 629
EP - 655
BT - Multi-objective machine learning
A2 - Jin, Yaochu
ER -
ID: 168323444