Learning Where to Attend with Deep Architectures for Image Tracking
From MaRDI portal
Publication:2919435
DOI10.1162/NECO_a_00312zbMath1311.92028DBLPjournals/neco/DenilBLF12arXiv1109.3737OpenAlexW2154071538WikidataQ47893583 ScholiaQ47893583MaRDI QIDQ2919435
Loris Bazzani, Misha Denil, Hugo Larochelle, Nando de Freitas
Publication date: 2 October 2012
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1109.3737
Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Mathematical biology in general (92B99)
Related Items (2)
Neural bag-of-features learning ⋮ Research and realization of video target detection system based on deep learning
Cites Work
- Unnamed Item
- Unnamed Item
- Planning and acting in partially observable stochastic domains
- Lipschitzian optimization without the Lipschitz constant
- A decision-theoretic generalization of on-line learning and an application to boosting
- Reducing the Dimensionality of Data with Neural Networks
- Training Products of Experts by Minimizing Contrastive Divergence
- The Nonstochastic Multiarmed Bandit Problem
This page was built for publication: Learning Where to Attend with Deep Architectures for Image Tracking
