Learning where to attend with deep architectures for image tracking
type: Item
instance of: scholarly article
zbMATH Open document ID: 1311.92028
author: Misha Denil
author: Loris Bazzani
author: Hugo Larochelle
author: Nando De Freitas
published in: Neural Computation
publication date: 2012-10-02T00:00:00Z
full work available at URL: https://arxiv.org/abs/1109.3737
Mathematics Subject Classification ID: 92B99
Mathematics Subject Classification ID: 94A08
zbMATH DE Number: 6089774
MaRDI profile type: Publication
Wikidata QID: Q47893583
arXiv ID: 1109.3737
cites work: Q4252717
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cites work: Lipschitzian optimization without the Lipschitz constant
cites work: Planning and acting in partially observable stochastic domains
cites work: Q3394879
OpenAlex ID: W2154071538
DBLP publication ID: journals/neco/DenilBLF12
DOI: 10.1162/NECO_A_00312
title: Learning where to attend with deep architectures for image tracking
description: scientific article; zbMATH DE number 6089774