-
1
-
-
36048938087
-
Condensed nearest neighbor data domain description
-
F. Angiulli. Condensed nearest neighbor data domain description. IEEE Trans. Pattern Anal. Mach. Intell., 29(10):1746-1758, 2007.
-
(2007)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.29
, Issue.10
, pp. 1746-1758
-
-
Angiulli, F.1
-
2
-
-
84860244162
-
Prototype-based domain description for one-class classification
-
F. Angiulli. Prototype-based domain description for one-class classification. IEEE Trans. Pattern Anal. Mach. Intell., 34(6):1131-1144, 2012.
-
(2012)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.34
, Issue.6
, pp. 1131-1144
-
-
Angiulli, F.1
-
3
-
-
0345134164
-
Histogram intersection kernel for image classification
-
IEEE
-
A. Barla, F. Odone, and A. Verri. Histogram intersection kernel for image classification. In Proc. ICIP, pages 513-516. IEEE, 2003.
-
(2003)
Proc. ICIP
, pp. 513-516
-
-
Barla, A.1
Odone, F.2
Verri, A.3
-
5
-
-
84887385648
-
Kernel null space methods for novelty detection
-
IEEE
-
P. Bodesheim, A. Freytag, E. Rodner, M. Kemmler, and J. Denzler. Kernel null space methods for novelty detection. In Proc. CVPR, pages 3374-3381. IEEE, 2013.
-
(2013)
Proc. CVPR
, pp. 3374-3381
-
-
Bodesheim, P.1
Freytag, A.2
Rodner, E.3
Kemmler, M.4
Denzler, J.5
-
6
-
-
0000876414
-
Local learning algorithms
-
L. Bottou and V. Vapnik. Local learning algorithms. Neural Computation, 4(6):888-900, 1992.
-
(1992)
Neural Computation
, vol.4
, Issue.6
, pp. 888-900
-
-
Bottou, L.1
Vapnik, V.2
-
8
-
-
85198028989
-
Imagenet: A large-scale hierarchical image database
-
IEEE
-
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. Imagenet: A large-scale hierarchical image database. In Proc. CVPR, pages 248-255. IEEE, 2009.
-
(2009)
Proc. CVPR
, pp. 248-255
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
9
-
-
84881077165
-
One class random forests
-
C. Desir, S. Bernard, C. Petitjean, and L. Heutte. One class random forests. Pattern Recognition, 46(12):3490-3506, 2013.
-
(2013)
Pattern Recognition
, vol.46
, Issue.12
, pp. 3490-3506
-
-
Desir, C.1
Bernard, S.2
Petitjean, C.3
Heutte, L.4
-
10
-
-
33646023117
-
An introduction to roc analysis
-
T. Fawcett. An introduction to roc analysis. Pattern Recognition Lett., 27(8):861-874, 2006.
-
(2006)
Pattern Recognition Lett.
, vol.27
, Issue.8
, pp. 861-874
-
-
Fawcett, T.1
-
11
-
-
84875877676
-
Rapid uncertainty computation with Gaussian processes and histogram intersection kernels
-
Springer
-
A. Freytag, E. Rodner, P. Bodesheim, and J. Denzler. Rapid uncertainty computation with Gaussian processes and histogram intersection kernels. In Proc. ACCV, pages 511-524. Springer, 2012.
-
(2012)
Proc. ACCV
, pp. 511-524
-
-
Freytag, A.1
Rodner, E.2
Bodesheim, P.3
Denzler, J.4
-
12
-
-
84908689416
-
Exemplar-specific patch features for fine-grained recognition
-
Springer
-
A. Freytag, E. Rodner, T. Darrell, and J. Denzler. Exemplar-specific patch features for fine-grained recognition. In Proc. GCPR, pages 144-156. Springer, 2014.
-
(2014)
Proc. GCPR
, pp. 144-156
-
-
Freytag, A.1
Rodner, E.2
Darrell, T.3
Denzler, J.4
-
13
-
-
84911449570
-
Nonparametric part transfer for fine-grained recognition
-
IEEE
-
C. Goring, E. Rodner, A. Freytag, and J. Denzler. Nonparametric part transfer for fine-grained recognition. In Proc. CVPR, pages 2489-2496. IEEE, 2014.
-
(2014)
Proc. CVPR
, pp. 2489-2496
-
-
Goring, C.1
Rodner, E.2
Freytag, A.3
Denzler, J.4
-
15
-
-
77953178820
-
Is that you? Metric learning approaches for face identification
-
IEEE
-
M. Guillaumin, J. Verbeek, and C. Schmid. Is that you? metric learning approaches for face identification. In Proc. ICCV, pages 498-505. IEEE, 2009.
-
(2009)
Proc. ICCV
, pp. 498-505
-
-
Guillaumin, M.1
Verbeek, J.2
Schmid, C.3
-
16
-
-
33750522220
-
Kernel PCA for novelty detection
-
H. Hoffmann. Kernel PCA for novelty detection. Pattern Recognition, 40(3):863-874, 2007.
-
(2007)
Pattern Recognition
, vol.40
, Issue.3
, pp. 863-874
-
-
Hoffmann, H.1
-
17
-
-
51849117118
-
-
Technical Report 07-49, Univ. of Massachusetts, Amherst, Oct
-
G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller. Labeled faces in the wild: A database for studying face recognition in unconstrained environments. Technical Report 07-49, Univ. of Massachusetts, Amherst, Oct. 2007.
-
(2007)
Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments
-
-
Huang, G.B.1
Ramesh, M.2
Berg, T.3
Learned-Miller, E.4
-
19
-
-
84906515523
-
Multi-class open set recognition using probability of inclusion
-
Springer
-
L. P. Jain,W. J. Scheirer, and T. E. Boult. Multi-class open set recognition using probability of inclusion. In Proc. ECCV, pages 393-409. Springer, 2014.
-
(2014)
Proc. ECCV
, pp. 393-409
-
-
Jain, L.P.1
Scheirer, W.J.2
Boult, T.E.3
-
20
-
-
79952531732
-
One-class classification with Gaussian processes
-
Springer
-
M. Kemmler, E. Rodner, and J. Denzler. One-class classification with Gaussian processes. In Proc. ACCV, pages 489-500. Springer, 2010.
-
(2010)
Proc. ACCV
, pp. 489-500
-
-
Kemmler, M.1
Rodner, E.2
Denzler, J.3
-
21
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In Proc. NIPS, pages 1097-1105, 2012.
-
(2012)
Proc. NIPS
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
22
-
-
26444507212
-
Optimising two-stage recognition systems
-
Springer
-
T. Landgrebe, P. Paclik, D. M. J. Tax, and R. P. W. Duin. Optimising two-stage recognition systems. In Proc. Int. Workshop on Multiple Classifier Syst., pages 206-215. Springer, 2005.
-
(2005)
Proc. Int. Workshop on Multiple Classifier Syst.
, pp. 206-215
-
-
Landgrebe, T.1
Paclik, P.2
Tax, D.M.J.3
Duin, R.P.W.4
-
23
-
-
51949098112
-
Classification using intersection kernel support vector machines is efficient
-
IEEE
-
S. Maji, A. C. Berg, and J. Malik. Classification using intersection kernel support vector machines is efficient. In Proc. CVPR, pages 1-8. IEEE, 2008.
-
(2008)
Proc. CVPR
, pp. 1-8
-
-
Maji, S.1
Berg, A.C.2
Malik, J.3
-
24
-
-
0142063407
-
Novelty detection: A review-part 1: Statistical approaches
-
M. Markou and S. Singh. Novelty detection: A review-part 1: Statistical approaches. Signal Process., 83(12):2481-2497, 2003.
-
(2003)
Signal Process.
, vol.83
, Issue.12
, pp. 2481-2497
-
-
Markou, M.1
Singh, S.2
-
25
-
-
0142126712
-
Novelty detection: A review-part 2: Neural network based approaches
-
M. Markou and S. Singh. Novelty detection: A review-part 2: Neural network based approaches. Signal Process., 83(12):2499-2521, 2003.
-
(2003)
Signal Process.
, vol.83
, Issue.12
, pp. 2499-2521
-
-
Markou, M.1
Singh, S.2
-
26
-
-
8844281752
-
Novelty detection in learning systems
-
S. Marsland. Novelty detection in learning systems. Neural Computing Surveys, 3:157-195, 2003.
-
(2003)
Neural Computing Surveys
, vol.3
, pp. 157-195
-
-
Marsland, S.1
-
28
-
-
84893296219
-
A review of novelty detection
-
M. A. F. Pimentel, D. A. Clifton, L. Clifton, and L. Tarassenko. A review of novelty detection. Signal Process., 99:215-249, 2014.
-
(2014)
Signal Process.
, vol.99
, pp. 215-249
-
-
Pimentel, M.A.F.1
Clifton, D.A.2
Clifton, L.3
Tarassenko, L.4
-
29
-
-
84867862792
-
Large-scale Gaussian process classification with flexible adaptive histogram kernels
-
Springer
-
E. Rodner, A. Freytag, P. Bodesheim, and J. Denzler. Large-scale Gaussian process classification with flexible adaptive histogram kernels. In Proc. ECCV, pages 85-98. Springer, 2012.
-
(2012)
Proc. ECCV
, pp. 85-98
-
-
Rodner, E.1
Freytag, A.2
Bodesheim, P.3
Denzler, J.4
-
30
-
-
33645717587
-
Kernel Fisher discriminants for outlier detection
-
V. Roth. Kernel Fisher discriminants for outlier detection. Neural Computation, 18(4):942-960, 2006.
-
(2006)
Neural Computation
, vol.18
, Issue.4
, pp. 942-960
-
-
Roth, V.1
-
31
-
-
77955426203
-
Evaluating color descriptors for object and scene recognition
-
K. E. A. v. d. Sande, T. Gevers, and C. G. M. Snoek. Evaluating color descriptors for object and scene recognition. IEEE Trans. Pattern Anal. Mach. Intell., 32(9):1582-1596, 2010.
-
(2010)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.32
, Issue.9
, pp. 1582-1596
-
-
Sande, K.E.A.V.D.1
Gevers, T.2
Snoek, C.G.M.3
-
32
-
-
84878136486
-
Towards open set recognition
-
W. J. Scheirer, A. Rocha, A. Sapkota, and T. E. Boult. Towards open set recognition. IEEE Trans. Pattern Anal. Mach. Intell., 35(7):1757-1772, 2013.
-
(2013)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.35
, Issue.7
, pp. 1757-1772
-
-
Scheirer, W.J.1
Rocha, A.2
Sapkota, A.3
Boult, T.E.4
-
33
-
-
0000487102
-
Estimating the support of a high-dimensional distribution
-
B. Scholkopf, J. C. Platt, J. C. Shawe-Taylor, A. J. Smola, and R. C. Williamson. Estimating the support of a high-dimensional distribution. Neural Computation, 13(7):1443-1471, 2001.
-
(2001)
Neural Computation
, vol.13
, Issue.7
, pp. 1443-1471
-
-
Scholkopf, B.1
Platt, J.C.2
Shawe-Taylor, J.C.3
Smola, A.J.4
Williamson, R.C.5
-
34
-
-
0942266514
-
Support vector data description
-
D. M. J. Tax and R. P. W. Duin. Support vector data description. Mach. Learning, 54(1):45-66, 2004.
-
(2004)
Mach. Learning
, vol.54
, Issue.1
, pp. 45-66
-
-
Tax, D.M.J.1
Duin, R.P.W.2
-
35
-
-
44449153509
-
Growing a multi-class classifier with a reject option
-
D. M. J. Tax and R. P.W. Duin. Growing a multi-class classifier with a reject option. Pattern Recognition Lett., 29(10):1565-1570, 2008.
-
(2008)
Pattern Recognition Lett.
, vol.29
, Issue.10
, pp. 1565-1570
-
-
Tax, D.M.J.1
Duin, R.P.W.2
-
36
-
-
84887334314
-
Attribute-based detection of unfamiliar classes with humans in the loop
-
IEEE
-
C. Wah and S. Belongie. Attribute-based detection of unfamiliar classes with humans in the loop. In Proc. CVPR, pages 779-786. IEEE, 2013.
-
(2013)
Proc. CVPR
, pp. 779-786
-
-
Wah, C.1
Belongie, S.2
-
37
-
-
84878084353
-
-
Technical Report CNS-TR-2011-001, California Inst. of Technology
-
C. Wah, S. Branson, P. Welinder, P. Perona, and S. Belongie. The caltech-ucsd birds-200-2011 dataset. Technical Report CNS-TR-2011-001, California Inst. of Technology, 2011.
-
(2011)
The Caltech-ucsd birds-200-2011 Dataset
-
-
Wah, C.1
Branson, S.2
Welinder, P.3
Perona, P.4
Belongie, S.5
-
38
-
-
67649842409
-
Learning color names for real-world applications
-
J. v. d. Weijer, C. Schmid, J. Verbeek, and D. Larlus. Learning color names for real-world applications. IEEE Trans. Image Process., 18(7):1512-1523, 2009.
-
(2009)
IEEE Trans. Image Process.
, vol.18
, Issue.7
, pp. 1512-1523
-
-
Weijer J, D.1
Schmid, C.2
Verbeek, J.3
Larlus, D.4
-
39
-
-
84911374908
-
Fine-grained visual comparisons with local learning
-
IEEE
-
A. Yu and K. Grauman. Fine-grained visual comparisons with local learning. In Proc. CVPR, pages 192-199. IEEE, 2014.
-
(2014)
Proc. CVPR
, pp. 192-199
-
-
Yu, A.1
Grauman, K.2
-
40
-
-
33845566162
-
Svm-knn: Discriminative nearest neighbor classification for visual category recognition
-
IEEE
-
H. Zhang, A. C. Berg, M. Maire, and J. Malik. Svm-knn: Discriminative nearest neighbor classification for visual category recognition. In Proc. CVPR, pages 2126-2136. IEEE, 2006.
-
(2006)
Proc. CVPR
, pp. 2126-2136
-
-
Zhang, H.1
Berg, A.C.2
Maire, M.3
Malik, J.4
|