-
1
-
-
84864073449
-
Greedy layer-wise training of deep networks
-
Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle, et al. Greedy layer-wise training of deep networks. In Proceedings of Advances in Neural Information Processing Systems (NIPS), volume 19, pages 153-160, 2007.
-
(2007)
Proceedings of Advances in Neural Information Processing Systems (NIPS)
, vol.19
, pp. 153-160
-
-
Bengio, Y.1
Lamblin, P.2
Popovici, D.3
Larochelle, H.4
-
2
-
-
79954590425
-
Anomaly detection in environmental monitoring networks
-
James C Bezdek, Sutharshan Rajasegarar, Masud Moshtaghi, Christopher Leckie, Marimuthu Palaniswami, and Timothy C Havens. Anomaly detection in environmental monitoring networks. IEEE Computational Intelligence Magazine, 6(2): 52-58, 2011.
-
(2011)
IEEE Computational Intelligence Magazine
, vol.6
, Issue.2
, pp. 52-58
-
-
Bezdek, J.C.1
Rajasegarar, S.2
Moshtaghi, M.3
Leckie, C.4
Palaniswami, M.5
Havens, T.C.6
-
4
-
-
33745869085
-
Random projection, margins, kernels, and feature-selection
-
Avrim Blum. Random projection, margins, kernels, and feature-selection. In Proceedings of Subspace, Latent Structure and Feature Selection, pages 52-68. 2006.
-
(2006)
Proceedings of Subspace, Latent Structure and Feature Selection
, pp. 52-68
-
-
Blum, A.1
-
5
-
-
84959524841
-
R1SVM: A randomised nonlinear approach to large-scale anomaly detection
-
Sarah M. Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Shanika Karunasekera, and Chris Leckie. R1SVM: a Randomised Nonlinear Approach to Large-Scale Anomaly Detection. In Proceedings of Association for the Advancement of Artificial Intelligence (AAAI), pages 432-438, 2015.
-
(2015)
Proceedings of Association for the Advancement of Artificial Intelligence (AAAI)
, pp. 432-438
-
-
Erfani, S.M.1
Baktashmotlagh, M.2
Rajasegarar, S.3
Karunasekera, S.4
Leckie, C.5
-
6
-
-
84991671447
-
R1STM: One-class support tensor machine with randomised kernel
-
Sarah M Erfani, Mahsa Baktashmotlagh, Sutharshan Rajasegarar, Vinh Nguyen, Christopher Leckie, James Bailey, and Kotagiri Ramamohanarao. R1STM: One-class Support Tensor Machine with Randomised Kernel. In Proceedings of SIAM International Conference on Data Mining (SDM), 2016.
-
(2016)
Proceedings of SIAM International Conference on Data Mining (SDM)
-
-
Erfani, S.M.1
Baktashmotlagh, M.2
Rajasegarar, S.3
Nguyen, V.4
Leckie, C.5
Bailey, J.6
Ramamohanarao, K.7
-
7
-
-
84992311617
-
High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning
-
Sarah M. Erfani, Sutharshan Rajasegarar, Shanika Karunasekera, and Christopher Leckie. High-dimensional and large-scale anomaly detection using a linear one-class svm with deep learning. Pattern Recognition, 2016.
-
(2016)
Pattern Recognition
-
-
Erfani, S.M.1
Rajasegarar, S.2
Karunasekera, S.3
Leckie, C.4
-
8
-
-
84973915327
-
Domain generalization for object recognition with multi-task autoencoders
-
Muhammad Ghifary, W Bastiaan Kleijn, Mengjie Zhang, and David Balduzzi. Domain generalization for object recognition with multi-task autoencoders. In Proceedings of the IEEE International Conference on Computer Vision (ICCV), pages 2551-2559, 2015.
-
(2015)
Proceedings of the IEEE International Conference on Computer Vision (ICCV)
, pp. 2551-2559
-
-
Ghifary, M.1
Bastiaan Kleijn, W.2
Zhang, M.3
Balduzzi, D.4
-
11
-
-
84867852273
-
Undoing the damage of dataset bias
-
Aditya Khosla, Tinghui Zhou, Tomasz Malisiewicz, Alexei A Efros, and Antonio Torralba. Undoing the damage of dataset bias. In Proceedings of European Conference on Computer Vision (ECCV), pages 158-171. 2012.
-
(2012)
Proceedings of European Conference on Computer Vision (ECCV)
, pp. 158-171
-
-
Khosla, A.1
Zhou, T.2
Malisiewicz, T.3
Efros, A.A.4
Torralba, A.5
-
12
-
-
77956478694
-
Clustering ellipses for anomaly detection
-
Masud Moshtaghi, Timothy C Havens, James C Bezdek, Laurence Park, Christopher Leckie, Sutharshan Rajasegarar, James M Keller, and Marimuthu Palaniswami. Clustering ellipses for anomaly detection. Pattern Recognition, 44(1): 55-69, 2011.
-
(2011)
Pattern Recognition
, vol.44
, Issue.1
, pp. 55-69
-
-
Moshtaghi, M.1
Havens, T.C.2
Bezdek, J.C.3
Park, L.4
Leckie, C.5
Rajasegarar, S.6
Keller, J.M.7
Palaniswami, M.8
-
13
-
-
84897517066
-
Domain generalization via invariant feature representation
-
Krikamol Muandet, David Balduzzi, and Bernhard Schölkopf. Domain generalization via invariant feature representation. In Proceedings of International Conference on Machine Learning (ICML), volume 28, pages 10-18, 2013.
-
(2013)
Proceedings of International Conference on Machine Learning (ICML)
, vol.28
, pp. 10-18
-
-
Muandet, K.1
Balduzzi, D.2
Schölkopf, B.3
-
19
-
-
80053460450
-
Contractive auto-encoders: Explicit invariance during feature extraction
-
Salah Rifai, Pascal Vincent, Xavier Muller, Xavier Glorot, and Yoshua Bengio. Contractive auto-encoders: Explicit invariance during feature extraction. In Proceedings of International Conference on Machine Learning (ICML), pages 833-840, 2011.
-
(2011)
Proceedings of International Conference on Machine Learning (ICML)
, pp. 833-840
-
-
Rifai, S.1
Vincent, P.2
Muller, X.3
Glorot, X.4
Bengio, Y.5
-
20
-
-
84962920836
-
Smart devices are different: Assessing and mitigatingmobile sensing heterogeneities for activity recognition
-
Allan Stisen, Henrik Blunck, Sourav Bhattacharya, Thor Siiger Prentow, Mikkel Baun Kjærgaard, Anind Dey, Tobias Sonne, and Mads Møller Jensen. Smart devices are different: Assessing and mitigatingmobile sensing heterogeneities for activity recognition. In Proceedings of ACM Conference on Embedded Networked Sensor Systems (SenSys), pages 127-140, 2015.
-
(2015)
Proceedings of ACM Conference on Embedded Networked Sensor Systems (SenSys)
, pp. 127-140
-
-
Stisen, A.1
Blunck, H.2
Bhattacharya, S.3
Siiger, P.T.4
Baun, K.M.5
Dey, A.6
Sonne, T.7
Møller, J.M.8
-
22
-
-
79954573338
-
IVAT and aVAT: Enhanced visual analysis for cluster tendency assessment
-
Liang Wang, Uyen TV Nguyen, James C Bezdek, Christopher Leckie, and Kotagiri Ramamohanarao. iVAT and aVAT: enhanced visual analysis for cluster tendency assessment. In Proceedings of Advances in Knowledge Discovery and Data Mining, pages 16-27. 2010.
-
(2010)
Proceedings of Advances in Knowledge Discovery and Data Mining
, pp. 16-27
-
-
Wang, L.1
Nguyen, U.T.V.2
Bezdek, J.C.3
Leckie, C.4
Ramamohanarao, K.5
|