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Multi-dimensional Recurrent Neural Networks

Graves, Alex, Fernández, Santiago, Schmidhuber, Jürgen·2007·Lecture Notes in Computer Science

DOI 10.1007/978-3-540-74690-4_56

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Gers, F., Schraudolph, N., Schmidhuber, J.: Learning precise timing with LSTM recurrent networks. Journal of Machine Learning Research 3, 115–143 (2002) · DOI

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Authors: Graves, A., Fernández, S., & Schmidhuber, J.
Affiliations: Dalle Molle Institute for Artificial Intelligence Research (CH)
ORCID: Schmidhuber, Jürgen
Venue: Lecture Notes in Computer Science
Publisher: Springer Berlin Heidelberg
Published: 2007
Pages: 549-558
ISSN: 0302-9743 (ISSN-L)
1611-3349
DOI: 10.1007/978-3-540-74690-4_56
OpenAlex: W1685006559
Cited by: 303
References: 19
Citations by year: 2026: 8 · 2025: 10 · 2024: 20 · 2023: 23 · 2022: 13 · 2021: 30 · 2020: 29 · 2019: 28 · 2018: 36 · 2017: 25 · 2016: 24 · 2015: 16 · 2014: 10 · 2013: 6 · 2012: 7
FWCI: 3.83
Type: conference paper
Language: en
Open access: closed
Locations: Lecture notes in computer science (publishedVersion)
Topics: Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
Keywords: recurrent neural networks, spatio-temporal data, image segmentation, video processing, diagnostic imaging, contextual information

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