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Zheng et al., 2011 - Google Patents

Modular neural networks for multi-class object recognition

Zheng et al., 2011

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Document ID
5558074439005611391
Author
Zheng Y
Meng Y
Publication year
Publication venue
2011 IEEE International Conference on Robotics and Automation

External Links

Snippet

Multi-class object recognition is a critical capability for an intelligence robot to perceive its environment. In this paper, a new approach consisting of a number of modular neural networks is proposed to recognize multiple classes of objects for a robotic system. The …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06N3/08—Learning methods
    • G06N3/082—Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06N3/00—Computer systems based on biological models
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    • G06N3/04—Architectures, e.g. interconnection topology
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    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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    • G06K9/62—Methods or arrangements for recognition using electronic means
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    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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    • G—PHYSICS
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    • G—PHYSICS
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