-
2
-
-
0032028728
-
The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network
-
Bartlett P (1998) The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network. IEEE Trans Inf Theory 44(2): 525-536.
-
(1998)
IEEE Trans Inf Theory
, vol.44
, Issue.2
, pp. 525-536
-
-
Bartlett, P.1
-
3
-
-
0031185845
-
Eigenfaces vs. fisherfaces: recognition using class specific linear projection
-
Belhumeur P, Hespanha J, Kriegman D (1997) Eigenfaces vs. fisherfaces: recognition using class specific linear projection. IEEE Trans Pattern Anal Mach Intell 19(7): 711-720.
-
(1997)
IEEE Trans Pattern Anal Mach Intell
, vol.19
, Issue.7
, pp. 711-720
-
-
Belhumeur, P.1
Hespanha, J.2
Kriegman, D.3
-
4
-
-
0042378381
-
Laplacian eigenmaps for dimensionality reduction and data representation
-
Belkin M, Niyogi P (2003) Laplacian eigenmaps for dimensionality reduction and data representation. Neural comput 15(6): 1373-1396.
-
(2003)
Neural Comput
, vol.15
, Issue.6
, pp. 1373-1396
-
-
Belkin, M.1
Niyogi, P.2
-
5
-
-
13344287015
-
Discriminative common vectors for face recognition
-
Cevikalp H, Neamtu M, Wilkes M, Barkana A (2005) Discriminative common vectors for face recognition. IEEE Trans Pattern Anal Mach Intell 27(1): 4-13.
-
(2005)
IEEE Trans Pattern Anal Mach Intell
, vol.27
, Issue.1
, pp. 4-13
-
-
Cevikalp, H.1
Neamtu, M.2
Wilkes, M.3
Barkana, A.4
-
6
-
-
84865706018
-
Handwritten character recognition using wavelet energy and extreme learning machine
-
Chacko B, Vimal Krishnan V, Raju G, Babu Anto P (2011) Handwritten character recognition using wavelet energy and extreme learning machine. Int J Mach Learn Cybern 1-13.
-
(2011)
Int J Mach Learn Cybern
, pp. 1-13
-
-
Chacko, B.1
Vimal, K.V.2
Raju, G.3
Babu, A.P.4
-
7
-
-
0034300875
-
A new LDA-based face recognition system which can solve the small sample size problem
-
Chen L, Liao H, Ko M, Lin J, Yu G (2000) A new LDA-based face recognition system which can solve the small sample size problem. Pattern Recognit 33(10): 1713-1726.
-
(2000)
Pattern Recognit
, vol.33
, Issue.10
, pp. 1713-1726
-
-
Chen, L.1
Liao, H.2
Ko, M.3
Lin, J.4
Yu, G.5
-
8
-
-
0036522825
-
Regularized discriminant analysis and its application to face recognition
-
Dai D, Yuen P (2003) Regularized discriminant analysis and its application to face recognition. Pattern Recognit Lett 36(3): 845-848.
-
(2003)
Pattern Recognit Lett
, vol.36
, Issue.3
, pp. 845-848
-
-
Dai, D.1
Yuen, P.2
-
11
-
-
15044358511
-
Face recognition using laplacianfaces
-
He X, Yan S, Hu Y, Niyogi P, Zhang H (2005) Face recognition using laplacianfaces. IEEE Trans Pattern Anal Mach Intell 27(3): 328-340.
-
(2005)
IEEE Trans Pattern Anal Mach Intell
, vol.27
, Issue.3
, pp. 328-340
-
-
He, X.1
Yan, S.2
Hu, Y.3
Niyogi, P.4
Zhang, H.5
-
12
-
-
0037361264
-
Learning capability and storage capacity of two-hidden-layer feedforward networks
-
Huang G (2003) Learning capability and storage capacity of two-hidden-layer feedforward networks. IEEE Trans Neural Netw 14(2): 274-281.
-
(2003)
IEEE Trans Neural Netw
, vol.14
, Issue.2
, pp. 274-281
-
-
Huang, G.1
-
13
-
-
78649492473
-
Optimization method based extreme learning machine for classification
-
Huang G, Ding X, Zhou H (2010) Optimization method based extreme learning machine for classification. Neurocomputing 74: 155-163.
-
(2010)
Neurocomputing
, vol.74
, pp. 155-163
-
-
Huang, G.1
Ding, X.2
Zhou, H.3
-
15
-
-
33745903481
-
Extreme learning machine: theory and applications
-
Huang G, Zhu Q, Siew C (2006) Extreme learning machine: theory and applications. Neurocomputing 70: 489-501.
-
(2006)
Neurocomputing
, vol.70
, pp. 489-501
-
-
Huang, G.1
Zhu, Q.2
Siew, C.3
-
16
-
-
34548463136
-
Principal component analysis
-
Jolliffe I (2002) Principal component analysis. Springer.
-
(2002)
Springer
-
-
Jolliffe, I.1
-
17
-
-
81255152339
-
Positive and negative fuzzy rule system, extreme learning machine and image classification
-
Jun W, Shitong W, Chung F (2011) Positive and negative fuzzy rule system, extreme learning machine and image classification. Int J Mach Learn Cybern 2: 261-271.
-
(2011)
Int J Mach Learn Cybern
, vol.2
, pp. 261-271
-
-
Jun, W.1
Shitong, W.2
Chung, F.3
-
18
-
-
34047174077
-
A fast and accurate online sequential learning algorithm for feedforward networks
-
Liang N, Huang G, Saratchandran P, Sundararajan N (2006) A fast and accurate online sequential learning algorithm for feedforward networks. IEEE Trans Neural Netw 17(6): 1411-1423.
-
(2006)
IEEE Trans Neural Netw
, vol.17
, Issue.6
, pp. 1411-1423
-
-
Liang, N.1
Huang, G.2
Saratchandran, P.3
Sundararajan, N.4
-
19
-
-
10044254164
-
Regularization studies of linear discriminant analysis in small sample size scenarios with application to face recognition
-
Lu J, Plataniotis K, Venetsanopoulos A (2005) Regularization studies of linear discriminant analysis in small sample size scenarios with application to face recognition. Pattern Recogn Lett 26(2): 181-191.
-
(2005)
Pattern Recogn Lett
, vol.26
, Issue.2
, pp. 181-191
-
-
Lu, J.1
Plataniotis, K.2
Venetsanopoulos, A.3
-
20
-
-
81255185845
-
Performance evaluation and comparison of pca based human face recognition methods for distorted images
-
Poon B, Ashraful Amin M, Yan H (2011) Performance evaluation and comparison of pca based human face recognition methods for distorted images. Int J Mach Learn Cybern 2: 245-259.
-
(2011)
Int J Mach Learn Cybern
, vol.2
, pp. 245-259
-
-
Poon, B.1
Ashraful, A.M.2
Yan, H.3
-
21
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
Roweis S, Saul L (2000) Nonlinear dimensionality reduction by locally linear embedding. Sci Agric 290(5500): 2323.
-
(2000)
Sci Agric
, vol.290
, Issue.5500
, pp. 2323
-
-
Roweis, S.1
Saul, L.2
-
22
-
-
0030214923
-
Using discriminant eigenfeatures for image retrieval
-
Swets D, Weng J (1996) Using discriminant eigenfeatures for image retrieval. IEEE Trans Pattern Anal Mach Intell 18(8): 831-836.
-
(1996)
IEEE Trans Pattern Anal Mach Intell
, vol.18
, Issue.8
, pp. 831-836
-
-
Swets, D.1
Weng, J.2
-
23
-
-
0031100287
-
Capabilities of a four-layered feedforward neural network: Four layers versus three
-
Tamura S, Tateishi M (1997) Capabilities of a four-layered feedforward neural network: Four layers versus three. IEEE Trans Neural Netw 8(2): 251-255.
-
(1997)
IEEE Trans Neural Netw
, vol.8
, Issue.2
, pp. 251-255
-
-
Tamura, S.1
Tateishi, M.2
-
24
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
Tenenbaum J, Silva V, Langford J (2000) A global geometric framework for nonlinear dimensionality reduction. Sci Agric 290(5500): 2319.
-
(2000)
Sci Agric
, vol.290
, Issue.5500
, pp. 2319
-
-
Tenenbaum, J.1
Silva, V.2
Langford, J.3
-
26
-
-
67649403117
-
Marginface: a novel face recognition method by average neighborhood margin maximization
-
Wang F, Wang X, Zhang D, Zhang C, Li T (2009) Marginface: a novel face recognition method by average neighborhood margin maximization. Pattern Recogn Lett 42(11): 2863-2875.
-
(2009)
Pattern Recogn Lett
, vol.42
, Issue.11
, pp. 2863-2875
-
-
Wang, F.1
Wang, X.2
Zhang, D.3
Zhang, C.4
Li, T.5
-
28
-
-
80051593049
-
Upper integral network with extreme learning mechanism
-
Wang X, Chen A, Feng H (2011) Upper integral network with extreme learning mechanism. Neurocomputing.
-
(2011)
Neurocomputing
-
-
Wang, X.1
Chen, A.2
Feng, H.3
-
29
-
-
67149088596
-
Improving generalization of fuzzy if-then rules by maximizing fuzzy entropy
-
Wang X, Dong C (2009) Improving generalization of fuzzy if-then rules by maximizing fuzzy entropy. IEEE Trans Fuzzy Syst 17(3): 556-567.
-
(2009)
IEEE Trans Fuzzy Syst
, vol.17
, Issue.3
, pp. 556-567
-
-
Wang, X.1
Dong, C.2
-
30
-
-
84860227715
-
Maximum ambiguity based sample selection in fuzzy decision tree induction
-
Wang X, Dong L, Yan J (2011) Maximum ambiguity based sample selection in fuzzy decision tree induction. IEEE Trans Knowl Data Eng.
-
(2011)
IEEE Trans Knowl Data Eng
-
-
Wang, X.1
Dong, L.2
Yan, J.3
-
31
-
-
84865732939
-
An innovative face image enhancement based on principal component analysis
-
Xu X, Liu W, Venkatesh S (2011) An innovative face image enhancement based on principal component analysis. Int J Mach Learn Cybern 1-9.
-
(2011)
Int J Mach Learn Cybern
, pp. 1-9
-
-
Xu, X.1
Liu, W.2
Venkatesh, S.3
|