Fetching the paper…
Reading the bibliography…
Identifying acoustic events from a continuously streaming audio source is of interest for many applications including environmental monitoring for basic research.
The Hungarian method for the assignment problem
H. W. Kuhn · 1955
Earlier work this paper cites.
Vehicle classification in distributed sensor networks
Marco F. Duarte and Yu Hen Hu · 2004
Earlier work this paper cites.
Reducing the Dimensionality of Data with Neural Networks
G. E. Hinton and R. R. Salakhutdinov · 2006
Earlier work this paper cites.
Visualizing data using t-SNE
Laurens van der Maaten and Geoffrey Hinton · 2008
Earlier work this paper cites.
Unsupervised feature learning for audio classification using convolutional deep belief networks
Peter T. Pham Honglak Lee · 2009
Earlier work this paper cites.
A custom acoustic emission monitoring system for harsh environments: application to freezing-induced damage in alpine rock walls
L. Girard, J. Beutel, S. Gruber, J. Hunziker, R. Lim, and S. Weber · 2012
Earlier work this paper cites.
Exploiting spectro-temporal locality in deep learning based acoustic event detection
Miquel Espi, Masakiyo Fujimoto, Keisuke Kinoshita, and Tomohiro Nakatani · 2015
Cited alongside, same era.
Neural network-based clustering using pairwise constraints
Yen-Chang Hsu and Zsolt Kira · 2015
Cited alongside, same era.
TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2015
Cited alongside, same era.
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava, Elman Mansimov, and Ruslan Salakhutdinov · 2015
Cited alongside, same era.
Convolutional LSTM network: A machine learning approach for precipitation nowcasting
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn, Ian Goodfellow, and Sergey Levine · 2016
Later among the works it cites.
CNN Architectures for Large-Scale Audio Classification
Shawn Hershey, Sourish Chaudhuri, Daniel P. W. Ellis, Jort F. Gemmeke, Aren Jansen, R. Channing Moore, Manoj Plakal, Devin Platt, Rif A. Saurous, Bryan Seybold, Malcolm Slaney, Ron J. Weiss, and Kevin Wilson · 2016
Later among the works it cites.
Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Recognition
Naoya Takahashi, Michael Gygli, Beat Pfister, and Luc Van Gool · 2016
Later among the works it cites.
Unsupervised deep embedding for clustering analysis
Junyuan Xie, Ross Girshick, and Ali Farhadi · 2016
Later among the works it cites.
Very Deep Convolutional Networks for End-to-End Speech Recognition
Yu Zhang, William Chan, and Navdeep Jaitly · 2016
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
S. H. I. Xingjian, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-Kin Wong, and Wang-chun Woo · 2015
Cited alongside, same era.