(Q56502473)

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Shape Quantization and Recognition with Randomized Trees

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title

Shape Quantization and Recognition with Randomized Trees (English)

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author name string

Yali Amit

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1

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Donald Geman

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2

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publication date

October 1997

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published in

Neural Computation

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volume

9

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page(s)

1545-1588

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issue

7

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cites work

Neural Networks and the Bias/Variance Dilemma

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https://api.crossref.org/works/10.1162%2FNECO.1997.9.7.1545

retrieved

21 January 2018

Spatial integration and cortical dynamics

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https://api.crossref.org/works/10.1162%2FNECO.1997.9.7.1545

retrieved

21 January 2018

Properties of simulated neurons from a model of primate inferior temporal cortex.

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https://api.crossref.org/works/10.1162%2FNECO.1997.9.7.1545

retrieved

21 January 2018

Classification trees with neural network feature extraction.

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Crossref

reference URL

https://api.crossref.org/works/10.1162%2FNECO.1997.9.7.1545

retrieved

21 January 2018

Handwritten digit recognition by neural networks with single-layer training.

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https://api.crossref.org/works/10.1162%2FNECO.1997.9.7.1545

retrieved

21 January 2018

Long-range synchronization of oscillatory light responses in the cat retina and lateral geniculate nucleus.

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reference URL

https://api.crossref.org/works/10.1162%2FNECO.1997.9.7.1545

retrieved

21 January 2018

Identifiers

DOI

10.1162/NECO.1997.9.7.1545

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journals/neco/AmitG97

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DBLP Dataset 2021-01-02

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28 January 2021

ResearchGate publication ID

220499641

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Semantic Scholar corpus ID

12470146

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Semantic Scholar paper ID

de5e95325e139fd0a46df1dd28aabecd0273b772

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(Q56502473)

Shape Quantization and Recognition with Randomized Trees

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