NDLI: Spatial recognition model by extracting correlated information between vision and motion information using neural-network

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Volume 3 - 1993

Proceedings Of 1993 International Joint Conference On Neural Networks

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Volume 2 - 1993

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International 1989 Joint Conference on Neural Networks

Spatial recognition model by extracting correlated information between vision and motion information using neural-network

Content Provider	IEEE Xplore Digital Library
Author	Shibata, K.
Copyright Year	1993
Description	Author affiliation: Res. Center for Adv. Sci. & Technol., Tokyo Univ., Japan (Shibata, K.)
Abstract	Spatial recognition ability can be obtained by learning from visual experiments. The author thinks that this ability is to extract correlated information between vision and motion signals. Learning to extract correlated information among multiple inputs can be done without supervisor. The author built a robot with a vision sensor in a computer and it was confirmed that the robot was able to recognize the distance vector of two dimensions from itself to a target object using neural-network without any supervisors.
Starting Page	2536
Ending Page	2539
File Size	333308
Page Count	4
File Format	PDF
ISBN	0780314212
DOI	10.1109/IJCNN.1993.714241
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-10-25
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Robot sensing systems Robot vision systems Target recognition Neurons Computer vision Image sensors Unsupervised learning Robotics and automation Psychology
Content Type	Text
Resource Type	Article

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