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We propose a deep learning-based solution for the problem of feature learning in one-class classification.
Eigenfaces vs. fisherfaces: Recognition using class specific linear projection
P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman · 1997
Earlier work this paper cites.
Novelty detection using extreme value statistics
S. J. Roberts · 1999
Earlier work this paper cites.
Estimating the support of a high-dimensional distribution
B. Schölkopf, J. C. Platt, J. C. Shawe-Taylor, A. J. Smola, and R. C. Williamson · 2001
Earlier work this paper cites.
Novelty detection: a review – part 1: statistical approaches
M. Markou and S. Singh · 2003
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Novelty detection: a review – part 2: neural network based approaches
M. Markou and S. Singh · 2003
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Support vector data description
D. M. J. Tax and R. P. W. Duin · 2004
Earlier work this paper cites.
Learning a similarity metric discriminatively, with application to face verification
S. Chopra, R. Hadsell, and Y. LeCun · 2005
Earlier work this paper cites.
Pattern Recognition and Machine Learning (Information Science and Statistics)
C. M. Bishop · 2006
Earlier work this paper cites.
Probability and Random Processes for Electrical and Computer Engineers
J. A. Gubner · 2006
Earlier work this paper cites.
Dimensionality reduction by learning an invariant mapping
R. Hadsell, S. Chopra, and Y. Lecun · 2006
Earlier work this paper cites.
Automated flower classification over a large number of classes
M.-E. Nilsback and A. Zisserman · 2008
Earlier work this paper cites.
Visualizing high-dimensional data using t-sne
L. van der Maaten and G. E. Hinton · 2008
Earlier work this paper cites.
Extracting and composing robust features with denoising autoencoders
P. Vincent, H. Larochelle, Y. Bengio, and P.-A. Manzagol · 2008
Earlier work this paper cites.
Anomaly detection: A survey
V. Chandola, A. Banerjee, and V. Kumar · 2009
Earlier work this paper cites.
ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
Earlier work this paper cites.
The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2010
Earlier work this paper cites.
On the suitability of different features for anomaly detection in wire ropes
E. Platzer, H. Se, J. Ngele, K.-H. Wehking, and J. Denzler · 2010
Cited alongside, same era.
Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
P. Vincent, H. Larochelle, I. Lajoie, Y. Bengio, and P.-A. Manzagol · 2010
Cited alongside, same era.
Novelty detection with multivariate extreme value statistics
D. A. Clifton, S. Hugueny, and L. Tarassenko · 2011
Cited alongside, same era.
One-class classification for anomaly detection in wire ropes with gaussian processes in a few lines of code
E. Rodner, E. sabrina Wacker, M. Kemmler, and J. Denzler · 2011
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Cited alongside, same era.
Active authentication for smartphones: A challenge data set and benchmark results
U. Mahbub, S. Sakar, V. Patel, and R. Chellappa · 2016
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Continuous user authentication on mobile devices: Recent progress and remaining challenges
V. M. Patel, R. Chellappa, D. Chandra, and B. Barbello · 2016
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Maximally divergent intervals for anomaly detection
E. Rodner, B. Barz, Y. Guanche, M. Flach, M. D. Mahecha, P. Bodesheim, M. Reichstein, and J. Denzler · 2016
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Convolutional neural networks for attribute-based active authentication on mobile devices
P. Samangouei and R. Chellappa · 2016
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Places: A 10 million image database for scene recognition
B. Zhou, A. Lapedriza, A. Khosla, A. Oliva, and A. Torralba · 2017
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P. Bodesheim, A. Freytag, E. Rodner, M. Kemmler, and J. Denzler · 2013
Cited alongside, same era.
Imbalanced Learning: Foundations, Algorithms, and Applications
H. He and Y. Ma · 2013
Cited alongside, same era.
One-class classification with gaussian processes
M. Kemmler, E. Rodner, E.-S. Wacker, and J. Denzler · 2013
Cited alongside, same era.
Object-centric anomaly detection by attribute-based reasoning
B. Saleh, A. Farhadi, and A. Elgammal · 2013
Cited alongside, same era.
Decaf: A deep convolutional activation feature for generic visual recognition
J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, and T. Darrell · 2014
Cited alongside, same era.
Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
Cited alongside, same era.
Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
Cited alongside, same era.
AND: Autoregressive Novelty Detectors
D. Abati, A. Porrello, S. Calderara, and R. Cucchiara · 2018
Closest in time.
Anomaly detection using one-class neural networks
R. Chalapathy, A. K. Menon, and S. Chawla · 2018
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Dual-minimax prob-ability machines for one-class mobile active authentication
P. Perera and V. M. Patel · 2018
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Efficient and low latency detection of intruders in mobile active authentication
P. Perera and V. M. Patel · 2018
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Deep one-class classification
L. Ruff, R. Vandermeulen, N. Goernitz, L. Deecke, S. A. Siddiqui, A. Binder, E. Müller, and M. Kloft · 2018
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Active authentication using an autoencoder regularized cnn-based one-class classifier
P. Oza and V. M. Patel · 2019
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One-class convolutional neural network
P. Oza and V. M. Patel · 2019
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Ocgan: One-class novelty detection using gans with constrained latent representations
P. Perera, R. Nallapati, and B. Xiang · 2019
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Deep transfer learning for multiple class novelty detection
P. Perera and V. M. Patel · 2019
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Face-based multiple user active authentication on mobile devices
P. Perera and V. M. Patel · 2019
Closest in time.