Fetching the paper…
Reading the bibliography…
Acoustic event detection is essential for content analysis and description of multimedia recordings.
Applications of advances in nonlinear sensitivity analysis
P. J. Werbos · 1982
Earlier work this paper cites.
Learning representations by back-propagating errors
D. E. Rumelhart, G. E. Hinton, and R. J. Williams · 1988
Earlier work this paper cites.
The use of the area under the roc curve in the evaluation of machine learning algorithms
A. P. Bradley · 1997
Earlier work this paper cites.
Solving the multiple instance problem with axis-parallel rectangles
T. G. Dietterich, R. H. Lathrop, and T. Lozano-Pérez · 1997
Earlier work this paper cites.
A framework for multiple-instance learning
O. Maron and T. Lozano-Pérez · 1998
Earlier work this paper cites.
Solving the multiple-instance problem: A lazy learning approach
J. Wang and J.-D. Zucker · 2000
Earlier work this paper cites.
Support vector machines for multiple-instance learning
S. Andrews, I. Tsochantaridis, and T. Hofmann · 2002
Earlier work this paper cites.
Neural networks for multi-instance learning
Z.-H. Zhou and M.-L. Zhang · 2002
Earlier work this paper cites.
Multiple instance learning of real valued data
D. R. Dooly, Q. Zhang, S. A. Goldman, and R. A. Amar · 2003
Earlier work this paper cites.
A tutorial on text-independent speaker verification
F. Bimbot, J.-F. Bonastre, C. Fredouille, G. Gravier, I. Magrin-Chagnolleau, S. Meignier, T. Merlin, J. Ortega-García, D. Petrovska-Delacrétaz, and D. A. Reynolds · 2004
Earlier work this paper cites.
Audio-based context recognition
A. J. Eronen, V. T. Peltonen, J. T. Tuomi, A. P. Klapuri, S. Fagerlund, T. Sorsa, G. Lorho, and J. Huopaniemi · 2006
Earlier work this paper cites.
Audio-visual event recognition in surveillance video sequences
M. Cristani, M. Bicego, and V. Murino · 2007
Earlier work this paper cites.
Scream and gunshot detection and localization for audio-surveillance systems
G. Valenzise, L. Gerosa, M. Tagliasacchi, F. Antonacci, and A. Sarti · 2007
Earlier work this paper cites.
Liblinear: A library for large linear classification
R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin · 2008
Cited alongside, same era.
Multiple-instance learning for music information retrieval
M. I. Mandel and D. P. Ellis · 2008
Cited alongside, same era.
Gunshot detection in audio streams from movies by means of dynamic programming and bayesian networks
A. Pikrakis, T. Giannakopoulos, and S. Theodoridis · 2008
Cited alongside, same era.
Content-based information fusion for semi-supervised music genre classification
Y. Song and C. Zhang · 2008
Cited alongside, same era.
Hierarchical language modeling for audio events detection in a sports game
Q. Huang and S. Cox · 2010
Cited alongside, same era.
Visual word ambiguity
J. C. Van Gemert, C. J. Veenman, A. W. Smeulders, and J.-M. Geusebroek · 2010
Cited alongside, same era.
A generic framework for video annotation via semi-supervised learning
T. Zhang, C. Xu, G. Zhu, S. Liu, and H. Lu · 2012
Later among the works it cites.
Audio event classification using deep neural networks
Z. Kons and O. Toledo-Ronen · 2013
Later among the works it cites.
Event detection in short duration audio using gaussian mixture model and random forest classifier
A. Kumar, R. M. Hegde, R. Singh, and B. Raj · 2013
Later among the works it cites.
Unsupervised feature extraction for multimedia event detection and ranking using audio content
E. Amid, A. Mesaros, K. J. Palomaki, J. Laaksonen, and M. Kurimo · 2014
Later among the works it cites.
Recognition of acoustic events using deep neural networks
O. Gencoglu, T. Virtanen, and H. Huttunen · 2014
Later among the works it cites.
Sparse representation based on a bag of spectral exemplars for acoustic event detection
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A generic framework for event detection in various video domains
T. Zhang, C. Xu, G. Zhu, S. Liu, and H. Lu · 2010
Cited alongside, same era.
Real-world acoustic event detection
X. Zhuang, X. Zhou, M. A. Hasegawa-Johnson, and T. S. Huang · 2010
Cited alongside, same era.
Acoustic classification of multiple simultaneous bird species: A multi-instance multi-label approach
F. Briggs, B. Lakshminarayanan, L. Neal, X. Z. Fern, R. Raich, S. J. Hadley, A. S. Hadley, and M. G. Betts · 2012
Cited alongside, same era.
Visual event recognition in videos by learning from web data
L. Duan, D. Xu, I. W.-H. Tsang, and J. Luo · 2012
Cited alongside, same era.
Audio event detection from acoustic unit occurrence patterns
A. Kumar, P. Dighe, R. Singh, S. Chaudhuri, and B. Raj · 2012
Cited alongside, same era.
Bag-of-audio-words approach for multimedia event classification
S. Pancoast and M. Akbacak · 2012
Cited alongside, same era.
X. Lu, Y. Tsao, S. Matsuda, and C. Hori · 2014
Later among the works it cites.
Video event detection using motion relativity and feature selection
F. Wang, Z. Sun, Y.-G. Jiang, and C.-W. Ngo · 2014
Later among the works it cites.
Audio-based multimedia event detection with DNNs and sparse sampling
K. Ashraf, B. Elizalde, F. Iandola, M. Moskewicz, J. Bernd, G. Friedland, and K. Keutzer · 2015
Later among the works it cites.
Deep learning
Y. LeCun, Y. Bengio, and G. Hinton · 2015
Later among the works it cites.
Multiple instance learning-based birdsong classification using unsupervised recording segmentation
J. F. Ruiz-Muñoz, M. Orozco-Alzate, and G. Castellanos-Dominguez · 2015
Later among the works it cites.
Deep learning in neural networks: An overview
J. Schmidhuber · 2015
Later among the works it cites.
Detection and classification of acoustic scenes and events
D. Stowell, D. Giannoulis, E. Benetos, M. Lagrange, and M. Plumbley · 2015
Later among the works it cites.