-
1
-
-
84893296219
-
A review of novelty detection
-
M. A. Pimentel, D. A. Clifton, L. Clifton, and L. Tarassenko, "A review of novelty detection, " Signal Processing, vol. 99, pp. 215-249, 2014.
-
(2014)
Signal Processing
, vol.99
, pp. 215-249
-
-
Pimentel, M.A.1
Clifton, D.A.2
Clifton, L.3
Tarassenko, L.4
-
2
-
-
77956001004
-
Deconvolutional networks
-
M. D. Zeiler, D. Krishnan, G. W. Taylor, and R. Fergus, "Deconvolutional networks, " in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010, pp. 2528-2535.
-
(2010)
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
, pp. 2528-2535
-
-
Zeiler, M.D.1
Krishnan, D.2
Taylor, G.W.3
Fergus, R.4
-
4
-
-
68049121093
-
Anomaly detection: A survey
-
Y. Chandola, A. Banerjee, and Y. Kumar, "Anomaly detection: A survey, " ACM Computing Surveys (CSUR), vol. 41, no. 3, p. 15, 2009.
-
(2009)
ACM Computing Surveys (CSUR)
, vol.41
, Issue.3
, pp. 15
-
-
Chandola, Y.1
Banerjee, A.2
Kumar, Y.3
-
5
-
-
0142063407
-
Novelty detection: A review-part I: Statistical approaches
-
M. Markou and S. Singh, "Novelty detection: A review-part I: statistical approaches, " Signal processing, vol. 83, no. 12, pp. 2481-2497, 2003.
-
(2003)
Signal Processing
, vol.83
, Issue.12
, pp. 2481-2497
-
-
Markou, M.1
Singh, S.2
-
6
-
-
0142126712
-
Novelty detection: A review-part 2: Neural network based approaches
-
-, "Novelty detection: A review-part 2: neural network based approaches, " Signal processing, vol. 83, no. 12, pp. 2499-2521, 2003.
-
(2003)
Signal Processing
, vol.83
, Issue.12
, pp. 2499-2521
-
-
Markou, M.1
Singh, S.2
-
7
-
-
84898941932
-
Support vector method for novelty detection
-
B. Schiilkopf, R. C. Williamson, A. J. Smola, J. Shawe-Taylor, and J. C. Platt, "Support vector method for novelty detection. " in Advances in Neural Iriformation Processing Systems (NIPS), 1999, pp. 582-588.
-
(1999)
Advances in Neural Iriformation Processing Systems (NIPS)
, pp. 582-588
-
-
Schiilkopf, B.1
Williamson, R.C.2
Smola, A.J.3
Shawe-Taylor, J.4
Platt, J.C.5
-
8
-
-
85162460675
-
Learning convolutional feature hierarchies for visual recognition
-
K. Kavukcuoglu, P. Sermanet, Y.-L. Boureau, K. Gregor, M. Mathieu, and Y. L. Cun. "Learning convolutional feature hierarchies for visual recognition, " in Advances in Neural Information Processing Systems (NIPS), 2010, pp. 1090-1098.
-
(2010)
Advances in Neural Information Processing Systems (NIPS)
, pp. 1090-1098
-
-
Kavukcuoglu, K.1
Sermanet, P.2
Boureau, Y.-L.3
Gregor, K.4
Mathieu, M.5
Cun, Y.L.6
-
9
-
-
71149119164
-
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
-
H. Lee, R. Grosse, R. Ranganath, and A. Y. Ng, "Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations, " in Proceedings of Annual International Conference on Machine Learning (ICML), 2009, pp. 609-616.
-
(2009)
Proceedings of Annual International Conference on Machine Learning (ICML)
, pp. 609-616
-
-
Lee, H.1
Grosse, R.2
Ranganath, R.3
Ng, A.Y.4
-
10
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-based learning applied to document recognition, " Proceedings of the IEEE, vol. 86, no. 11, pp. 2278-2324, 1998.
-
(1998)
Proceedings of the IEEE
, vol.86
, Issue.11
, pp. 2278-2324
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
12
-
-
84946688961
-
Novelty detection in images by sparse representations
-
G. Boracchi, D. Carrera, and B. Wohlberg, "Novelty detection in images by sparse representations, " in Proceedings of IEEE Symposium on Intelligent Embedded Systems (IES), 2014, pp. 47-54.
-
(2014)
Proceedings of IEEE Symposium on Intelligent Embedded Systems (IES)
, pp. 47-54
-
-
Boracchi, G.1
Carrera, D.2
Wohlberg, B.3
-
13
-
-
84893242742
-
Sparse coding with anomaly detection
-
A. Adler, M. Elad, Y. Hel-Or, and E. Rivlin, "Sparse coding with anomaly detection, " in Proceedings of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2013, pp. 1-6.
-
(2013)
Proceedings of IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
, pp. 1-6
-
-
Adler, A.1
Elad, M.2
Hel-Or, Y.3
Rivlin, E.4
-
14
-
-
80052872689
-
Online detection of unusual events in videos via dynamic sparse coding
-
B. Zhao, L. Fei-Fei, and E. P. Xing, "Online detection of unusual events in videos via dynamic sparse coding, " in Proceedings of IEEE Coriference on Computer Vision and Pattern Recognition (CVPR), 2011, pp. 3313-3320.
-
(2011)
Proceedings of IEEE Coriference on Computer Vision and Pattern Recognition (CVPR)
, pp. 3313-3320
-
-
Zhao, B.1
Fei-Fei, L.2
Xing, E.P.3
-
15
-
-
80052872021
-
Sparse reconstruction cost for abnormal event detection
-
Y. Cong, J. Yuan, and J. Liu, "Sparse reconstruction cost for abnormal event detection, " in Proceedings of IEEE Coriference on Computer Vision and Pattern Recognition (CVPR), 2011, pp. 3449-3456.
-
(2011)
Proceedings of IEEE Coriference on Computer Vision and Pattern Recognition (CVPR)
, pp. 3449-3456
-
-
Cong, Y.1
Yuan, J.2
Liu, J.3
-
16
-
-
84905216178
-
Change detection in streams of signals with sparse representations
-
C. Alippi, G. Boracchi, and B. Wohlberg, "Change detection in streams of signals with sparse representations, " in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, pp. 5252-5256.
-
(2014)
Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
, pp. 5252-5256
-
-
Alippi, C.1
Boracchi, G.2
Wohlberg, B.3
-
18
-
-
84950975015
-
Efficient algorithms for convolutional sparse representations
-
B. Wohlberg, "Efficient algorithms for convolutional sparse representations, " Manuscript currently under review, 2015.
-
(2015)
Manuscript Currently under Review
-
-
Wohlberg, B.1
-
19
-
-
80051762104
-
Distributed optimization and statistical learning via the alternating direction method of multipliers
-
S. Boyd, N. Parikh, E. Chu, B. Peleato, and 1. Eckstein, "Distributed optimization and statistical learning via the alternating direction method of multipliers, " Foundations and Trends@ in Machine Learning, vol. 3, no. 1, pp. 1-122, 2011.
-
(2011)
Foundations and Trends@ in Machine Learning
, vol.3
, Issue.1
, pp. 1-122
-
-
Boyd, S.1
Parikh, N.2
Chu, E.3
Peleato, B.4
Eckstein, J.5
-
21
-
-
59749104367
-
From sparse solutions of systems of equations to sparse modeling of signals and images
-
A. M. Bruckstein, D. L. Donoho, and M. Elad, "From sparse solutions of systems of equations to sparse modeling of signals and images, " SIAM review, vol. 51, no. 1, pp. 34-81, 2009.
-
(2009)
SIAM Review
, vol.51
, Issue.1
, pp. 34-81
-
-
Bruckstein, A.M.1
Donoho, D.L.2
Elad, M.3
-
22
-
-
71149119964
-
Online dictionary learning for sparse coding
-
J. Mairal, F. Bach, J. Ponce, and G. Sapiro, "Online dictionary learning for sparse coding, " in Proceedings of the Annual International Coriference on Machine Learning (ICML), 2009, pp. 689-696.
-
(2009)
Proceedings of the Annual International Coriference on Machine Learning (ICML)
, pp. 689-696
-
-
Mairal, J.1
Bach, F.2
Ponce, J.3
Sapiro, G.4
|