-
3
-
-
63249112814
-
Dimensionality and sample size considerations in pattern recognition practice
-
A. Jain Dimensionality and sample size considerations in pattern recognition practice Handbook of Statistics, Krishnaiah 2 1982 835 855
-
(1982)
Handbook of Statistics, Krishnaiah
, vol.2
, pp. 835-855
-
-
Jain, A.1
-
4
-
-
21744462998
-
On bias, variance, 0/1loss, and the curse-of-dimensionality
-
J.H. Friedman On bias, variance, 0/1loss, and the curse-of-dimensionality Data Min. Knowl. Discov. 1 1 1997 55 77
-
(1997)
Data Min. Knowl. Discov.
, vol.1
, Issue.1
, pp. 55-77
-
-
Friedman, J.H.1
-
5
-
-
0026120032
-
Small sample size effects in statistical pattern recognition: Recommendations for practitioners
-
S.J. Raudys, and A.K. Jain Small sample size effects in statistical pattern recognition: recommendations for practitioners IEEE Trans. Pattern Anal. Mach. Intell. 13 3 1991 252 264
-
(1991)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.13
, Issue.3
, pp. 252-264
-
-
Raudys, S.J.1
Jain, A.K.2
-
6
-
-
33751565280
-
Solving the small sample size problem of LDA
-
IEEE, Quebec City, Quebec, Canada
-
Huang, R., Liu, Q., Lu, H., Ma, S. (2002). Solving the small sample size problem of LDA. In Pattern Recognition, 2002. Proceedings. 16th International Conference on (Vol. 3, pp. 29-32). IEEE, Quebec City, Quebec, Canada.
-
(2002)
Pattern Recognition, 2002. Proceedings. 16th International Conference on
, vol.3
, pp. 29-32
-
-
Huang, R.1
Liu, Q.2
Lu, H.3
Ma, S.4
-
7
-
-
0018491795
-
A problem of dimensionality: A simple example
-
G. Trunk A problem of dimensionality: a simple example IEEE Trans. Pattern Anal. Mach. Intell. 3 1979 306 307
-
(1979)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.3
, pp. 306-307
-
-
Trunk, G.1
-
8
-
-
2442695245
-
What you see may not be what you get: A brief, nontechnical introduction to overfitting in regression-type models
-
M.A. Babyak What you see may not be what you get: a brief, nontechnical introduction to overfitting in regression-type models Psychosom. Med. 66 3 2004 411 421
-
(2004)
Psychosom. Med.
, vol.66
, Issue.3
, pp. 411-421
-
-
Babyak, M.A.1
-
10
-
-
34247558132
-
Preventing over-fitting during model selection via Bayesian regularisation of the hyper-parameters
-
G.C. Cawley, and N.L. Talbot Preventing over-fitting during model selection via Bayesian regularisation of the hyper-parameters J. Mach. Learn. Res. 8 2007 841 861
-
(2007)
J. Mach. Learn. Res.
, vol.8
, pp. 841-861
-
-
Cawley, G.C.1
Talbot, N.L.2
-
11
-
-
77956907243
-
On over-fitting in model selection and subsequent selection bias in performance evaluation
-
G.C. Cawley, and N.L. Talbot On over-fitting in model selection and subsequent selection bias in performance evaluation J. Mach. Learn. Res. 11 2010 2079 2107
-
(2010)
J. Mach. Learn. Res.
, vol.11
, pp. 2079-2107
-
-
Cawley, G.C.1
Talbot, N.L.2
-
12
-
-
0033699722
-
Overfitting and neural networks: Conjugate gradient and backpropagation
-
IEEE, Como, Italy
-
Lawrence, S., Giles, C. L. (2000). Overfitting and neural networks: conjugate gradient and backpropagation. In Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on (Vol. 1, pp. 114-119). IEEE, Como, Italy.
-
(2000)
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
, vol.1
, pp. 114-119
-
-
Lawrence, S.1
Giles, C.L.2
-
13
-
-
77952423823
-
Semi-supervised local fisher discriminant analysis for dimensionality reduction
-
M. Sugiyama, T. Idé, S. Nakajima, and J. Sese Semi-supervised local fisher discriminant analysis for dimensionality reduction Mach. Learn. 78 1-2 2010 35 61
-
(2010)
Mach. Learn.
, vol.78
, Issue.1-2
, pp. 35-61
-
-
Sugiyama, M.1
Idé, T.2
Nakajima, S.3
Sese, J.4
-
14
-
-
84878366601
-
An estimate of mutual information that permits closed-form optimisation
-
R. Liu, and D.F. Gillies An estimate of mutual information that permits closed-form optimisation Entropy 15 5 2013 1690 1704 10.3390/e15051690
-
(2013)
Entropy
, vol.15
, Issue.5
, pp. 1690-1704
-
-
Liu, R.1
Gillies, D.F.2
-
16
-
-
3242713335
-
Design of steerable filters for feature detection using canny-like criteria
-
M. Jacob, and M. Unser Design of steerable filters for feature detection using canny-like criteria IEEE Trans. Pattern Anal. Mach. Intell. 26 8 2004 1007 1019
-
(2004)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.26
, Issue.8
, pp. 1007-1019
-
-
Jacob, M.1
Unser, M.2
-
17
-
-
0041179313
-
An efficient approach for facial feature detection using geometrical face model
-
Vienna, Austria: IEEE
-
S.-H. Jeng, H.-Y. M. Liao, Y.-T. Liu, M.-Y. Chern, An efficient approach for facial feature detection using geometrical face model, in: Proceedings of the 13th International Conference on Pattern Recognition, vol. 3, Vienna, Austria: IEEE, 1996, pp. 426-430.
-
(1996)
Proceedings of the 13th International Conference on Pattern Recognition
, vol.3
, pp. 426-430
-
-
Jeng, S.-H.1
Liao, H.-Y.M.2
Liu, Y.-T.3
Chern, M.-Y.4
-
18
-
-
33745561205
-
An introduction to variable and feature selection
-
I. Guyon, and A. Elisseeff An introduction to variable and feature selection J. Mach. Learn. Res. 3 2003 1157 1182
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 1157-1182
-
-
Guyon, I.1
Elisseeff, A.2
-
19
-
-
35748932917
-
A review of feature selection techniques in bioinformatics
-
Y. Saeys, I. Inza, and P. Larrañaga A review of feature selection techniques in bioinformatics Bioinformatics 23 19 2007 2507 2517
-
(2007)
Bioinformatics
, vol.23
, Issue.19
, pp. 2507-2517
-
-
Saeys, Y.1
Inza, I.2
Larrañaga, P.3
-
20
-
-
0033726346
-
Class prediction and discovery using gene expression data
-
D.K. Slonim, P. Tamayo, J.P. Mesirov, T.R. Golub, E.S. Lander, Class prediction and discovery using gene expression data, in: Proceedings of the Fourth Annual International Conference on Computational Molecular Biology, Tokyo, Japan: ACM, 2000, pp. 263-272.
-
(2000)
Proceedings of the Fourth Annual International Conference on Computational Molecular Biology, Tokyo, Japan: ACM
, pp. 263-272
-
-
Slonim, D.K.1
Tamayo, P.2
Mesirov, J.P.3
Golub, T.R.4
Lander, E.S.5
-
21
-
-
17644384367
-
Minimum redundancy feature selection from microarray gene expression data
-
C. Ding, and H. Peng Minimum redundancy feature selection from microarray gene expression data J. Bioinform. Comput. Biol. 3 02 2005 185 205
-
(2005)
J. Bioinform. Comput. Biol.
, vol.3
, Issue.2
, pp. 185-205
-
-
Ding, C.1
Peng, H.2
-
22
-
-
24344458137
-
Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
-
H. Peng, F. Long, and C. Ding Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy IEEE Trans. Pattern Anal. Mach. Intell. 27 2005 1226 1238 (http://dx.doi.org/http://doi.ieeecomputersociety.org/10.1109/TPAMI.2005.159)
-
(2005)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.27
, pp. 1226-1238
-
-
Peng, H.1
Long, F.2
Ding, C.3
-
23
-
-
2942723846
-
A divisive information theoretic feature clustering algorithm for text classification
-
I.S. Dhillon, S. Mallela, and R. Kumar A divisive information theoretic feature clustering algorithm for text classification J. Mach. Learn. Res. 3 2003 1265 1287
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 1265-1287
-
-
Dhillon, I.S.1
Mallela, S.2
Kumar, R.3
-
24
-
-
2942731012
-
An extensive empirical study of feature selection metrics for text classification
-
G. Forman An extensive empirical study of feature selection metrics for text classification J. Mach. Learn. Res. 3 2003 1289 1305
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 1289-1305
-
-
Forman, G.1
-
25
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
J.B. Tenenbaum, V. De Silva, and J.C. Langford A global geometric framework for nonlinear dimensionality reduction Science 290 5500 2000 2319 2323
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2319-2323
-
-
Tenenbaum, J.B.1
De Silva, V.2
Langford, J.C.3
-
26
-
-
34548656483
-
Maximization of mutual information for supervised linear feature extraction
-
J. Leiva-Murillo, and A. Artes-Rodriguez Maximization of mutual information for supervised linear feature extraction IEEE Trans. Neural Netw. 18 5 2007 1433 1441
-
(2007)
IEEE Trans. Neural Netw.
, vol.18
, Issue.5
, pp. 1433-1441
-
-
Leiva-Murillo, J.1
Artes-Rodriguez, A.2
-
27
-
-
1942450610
-
Feature extraction by non parametric mutual information maximization
-
K. Torkkola Feature extraction by non parametric mutual information maximization J. Mach. Learn. Res. 3 2003 1415 1438
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 1415-1438
-
-
Torkkola, K.1
-
29
-
-
0036487285
-
Why can LDA be performed in PCA transformed space?
-
J. Yang, and J.-y. Yang Why can LDA be performed in PCA transformed space? Pattern Recognit. 36 2 2003 563 566
-
(2003)
Pattern Recognit.
, vol.36
, Issue.2
, pp. 563-566
-
-
Yang, J.1
Yang, J.-Y.2
-
30
-
-
70350124939
-
Info-margin maximization for feature extraction
-
X. Qiu, and L. Wu Info-margin maximization for feature extraction Pattern Recognit. Lett. 30 16 2009 1516 1522
-
(2009)
Pattern Recognit. Lett.
, vol.30
, Issue.16
, pp. 1516-1522
-
-
Qiu, X.1
Wu, L.2
-
31
-
-
33144458972
-
Efficient and robust feature extraction by maximum margin criterion
-
H. Li, T. Jiang, and K. Zhang Efficient and robust feature extraction by maximum margin criterion IEEE Trans. Neural Netw. 17 1 2006 157 165
-
(2006)
IEEE Trans. Neural Netw.
, vol.17
, Issue.1
, pp. 157-165
-
-
Li, H.1
Jiang, T.2
Zhang, K.3
-
33
-
-
0347243182
-
Nonlinear component analysis as a kernel eigenvalue problem
-
B. Schölkopf, A. Smola, and K.-R. Müller Nonlinear component analysis as a kernel eigenvalue problem Neural Comput. 10 5 1998 1299 1319
-
(1998)
Neural Comput.
, vol.10
, Issue.5
, pp. 1299-1319
-
-
Schölkopf, B.1
Smola, A.2
Müller, K.-R.3
-
35
-
-
68549120964
-
Patch alignment for dimensionality reduction
-
T. Zhang, D. Tao, X. Li, and J. Yang Patch alignment for dimensionality reduction IEEE Trans. Knowl. Data Eng. 21 9 2009 1299 1313
-
(2009)
IEEE Trans. Knowl. Data Eng.
, vol.21
, Issue.9
, pp. 1299-1313
-
-
Zhang, T.1
Tao, D.2
Li, X.3
Yang, J.4
-
36
-
-
84857444525
-
Coding facial expressions with gabor wavelets
-
Nara, Japan: IEEE
-
M. Lyons, S. Akamatsu, M. Kamachi, J. Gyoba, Coding facial expressions with gabor wavelets, in: Proceedings of Third IEEE International Conference on Automatic Face and Gesture Recognition, Nara, Japan: IEEE, 1998, pp. 200-205.
-
(1998)
Proceedings of Third IEEE International Conference on Automatic Face and Gesture Recognition
, pp. 200-205
-
-
Lyons, M.1
Akamatsu, S.2
Kamachi, M.3
Gyoba, J.4
-
37
-
-
84958672547
-
-
The Essex Face Database (accessed: 11.06.13)
-
The Essex Face Database (http://cswww.essex.ac.uk/mv/allfaces/) (accessed: 11.06.13).
-
-
-
-
38
-
-
84958665713
-
-
Fingerprint Verification Competition Database (accessed: 12.06.13)
-
Fingerprint Verification Competition Database (http://bias.csr.unibo.it/fvc2000/download.asp) (accessed: 12.06.13).
-
-
-
-
39
-
-
84958633265
-
-
Sheffield Face Database (accessed: 12.06.13)
-
Sheffield Face Database (http://www.sheffield.ac.uk/eee/research/iel/research/face) (accessed: 12.06.13).
-
-
-
|