-
1
-
-
0025957944
-
-
4, pp. 89-102, 1991.
-
L. Perlovsky and M. McManus, "Maximum likelihood neural networks for sensor fusion and adaptive classification," Neural Networks, vol. 4, pp. 89-102, 1991.
-
M. McManus, "Maximum Likelihood Neural Networks for Sensor Fusion and Adaptive Classification," Neural Networks, Vol.
-
-
Perlovsky, L.1
-
2
-
-
0025671510
-
-
1990, pp. 1361-1364.
-
H. Gish, "A probabilistic approach to the understanding and training of neural network classifiers," in Proc. IEEE Intl. Conf. Acoust., Speech, Signal Process., 1990, pp. 1361-1364.
-
Probabilistic Approach to the Understanding and Training of Neural Network Classifiers," in Proc. IEEE Intl. Conf. Acoust., Speech, Signal Process.
-
-
Gish, H.1
-
4
-
-
33747657294
-
-
1996.
-
Y. Wang, "Database mapping by mixture of experts in computer-aided diagnosis," Tech. Rep., Georgetown Univ. Med. Cent., Washington, DC, July 1996.
-
Mapping by Mixture of Experts in Computer-aided Diagnosis," Tech. Rep., Georgetown Univ. Med. Cent., Washington, DC, July
-
-
Wang, Y.1
-
5
-
-
0029182227
-
-
1, pp. 170-181, Jan. 1995.
-
S. Y. Kung and J. S. Taur, "Decision-based neural networks with signal/image classification applications," IEEE Trans. Neural Networks, vol. 1, pp. 170-181, Jan. 1995.
-
And J. S. Taur, "Decision-based Neural Networks with Signal/image Classification Applications," IEEE Trans. Neural Networks, Vol.
-
-
Kung, S.Y.1
-
6
-
-
0030871138
-
-
8, Jan. 1997.
-
S. H. Lin, S. Y. Kung, and L. J. Lin, "Face recognition/detection by probabilistic decision-based neural network," IEEE Trans. Neural Networks, Special Issue on Artificial Neural Networks and Pattern Recognition, vol. 8, Jan. 1997.
-
S. Y. Kung, and L. J. Lin, "Face Recognition/detection by Probabilistic Decision-based Neural Network," IEEE Trans. Neural Networks, Special Issue on Artificial Neural Networks and Pattern Recognition, Vol.
-
-
Lin, S.H.1
-
7
-
-
33747726471
-
-
3rd Int. Workshop Digital Mammography, Chicago, IL, June 1996, pp. 397-4100.
-
H. Li et al., "Detection of masses on mammograms using advanced segmentation techniques and an HMOE classifier," in Proc. 3rd Int. Workshop Digital Mammography, Chicago, IL, June 1996, pp. 397-4100.
-
"Detection of Masses on Mammograms Using Advanced Segmentation Techniques and an HMOE Classifier," in Proc.
-
-
Li, H.1
-
8
-
-
0027659237
-
-
12, pp. 566-574, Sept. 1993.
-
P. Santago and H. D. Gage, "Quantification of MR brain images by mixture density and partial volume modeling," IEEE Trans. Med. Imag., vol. 12, pp. 566-574, Sept. 1993.
-
H. D. Gage, "Quantification of MR Brain Images by Mixture Density and Partial Volume Modeling," IEEE Trans. Med. Imag., Vol.
-
-
Santago, P.1
-
10
-
-
33747676189
-
-
1996.
-
D. P. Helmbold, R. E. Schapire, Y. Singer, and M. K. Warmuth, "A comparison of new and old algorithms for a mixture estimation problem," Tech. Rep., Univ. Calif., Santa Cruz and AT&T Lab., 1996.
-
R. E. Schapire, Y. Singer, and M. K. Warmuth, "A Comparison of New and Old Algorithms for a Mixture Estimation Problem," Tech. Rep., Univ. Calif., Santa Cruz and AT&T Lab.
-
-
Helmbold, D.P.1
-
11
-
-
0025494624
-
-
38, pp. 1652-1654, Sept. 1990.
-
E. Weinstein, M. Feder, and A. V. Oppenheim, "Sequential algorithms for parameter estimation based on the Kullback-Leibler information measure," IEEE Trans. Acoust., Speech, Signal Processing, vol. 38, pp. 1652-1654, Sept. 1990.
-
Feder, and A. V. Oppenheim, "Sequential Algorithms for Parameter Estimation Based on the Kullback-Leibler Information Measure," IEEE Trans. Acoust., Speech, Signal Processing, Vol.
-
-
Weinstein, E.1
-
12
-
-
0029725436
-
-
1996, pp. 3422-3425.
-
Y. Wang and T. Adali, "Efficient learning of finite normal mixtures for image quantification," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., Atlanta, GA, 1996, pp. 3422-3425.
-
T. Adali, "Efficient Learning of Finite Normal Mixtures for Image Quantification," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., Atlanta, GA
-
-
Wang, Y.1
-
13
-
-
0028734063
-
-
1994.
-
F. S. Samaria and A. C. Harter, "Parameterization of a stochastic model for human face identification," in Proc. IEEE Workshop Appl. Comput. Vision, Sarasota, FL, 1994.
-
And A. C. Harter, "Parameterization of a Stochastic Model for Human Face Identification," in Proc. IEEE Workshop Appl. Comput. Vision, Sarasota, FL
-
-
Samaria, F.S.1
-
14
-
-
33747629940
-
-
1995.
-
S. Lawrence, C. L. Giles, A. C. Tsoi, and A. D. Back, "Face recognition: A convolutional neural network approach," Tech. Rep., NEC Res. Inst., 1995.
-
L. Giles, A. C. Tsoi, and A. D. Back, "Face Recognition: a Convolutional Neural Network Approach," Tech. Rep., NEC Res. Inst.
-
-
Lawrence, S.1
-
15
-
-
33747721545
-
-
1994.
-
F. S. Saramia, "Face recognition using hidden markov model," Ph.D. dissertation, Univ. Cambridge, Cambridge, U.K., 1994.
-
"Face Recognition Using Hidden Markov Model," Ph.D. Dissertation, Univ. Cambridge, Cambridge, U.K.
-
-
Saramia, F.S.1
-
16
-
-
0026065565
-
-
3, pp. 71-86, 1991.
-
M. Turk and A. Pentland, "Eigenfaces for recognition," J. Cogn. Neurosci., vol. 3, pp. 71-86, 1991.
-
A. Pentland, "Eigenfaces for Recognition," J. Cogn. Neurosci., Vol.
-
-
Turk, M.1
-
17
-
-
0000262562
-
-
6, pp. 181-214, 1994.
-
M. I. Jordan and R. A. Jacobs, "Hierarchical mixture of experts and the EM algorithm," Neural Comput., vol. 6, pp. 181-214, 1994.
-
And R. A. Jacobs, "Hierarchical Mixture of Experts and the EM Algorithm," Neural Comput., Vol.
-
-
Jordan, M.I.1
-
18
-
-
21844494777
-
-
89, no. 427, pp. 910-912, 1994.
-
C. E. Priebe, "Adaptive mixtures," J. Amer. Stat. Assoc., vol. 89, no. 427, pp. 910-912, 1994.
-
"Adaptive Mixtures," J. Amer. Stat. Assoc., Vol.
-
-
Priebe, C.E.1
-
19
-
-
0021404166
-
-
26, pp. 195-239, 1984.
-
R. A. Redner and N. M. Walker, "Mixture densities, maximum likelihood and the EM algorithm," SIAM Rev., vol. 26, pp. 195-239, 1984.
-
And N. M. Walker, "Mixture Densities, Maximum Likelihood and the EM Algorithm," SIAM Rev., Vol.
-
-
Redner, R.A.1
-
21
-
-
33747719417
-
-
1995.
-
L. Xu and M. I. Jordan, "On convergence properties of the EM algorithm for Gaussian mixture," Tech. Rep., Artif. Intell. Lab., Mass. Inst. Technol, Cambridge, Jan. 1995.
-
M. I. Jordan, "On Convergence Properties of the EM Algorithm for Gaussian Mixture," Tech. Rep., Artif. Intell. Lab., Mass. Inst. Technol, Cambridge, Jan.
-
-
Xu, L.1
-
22
-
-
33747645696
-
-
1993.
-
J. L. Marroquin and F. Girosi, "Some extensions of the K-means algorithm for image segmentation and pattern classification," Tech. Rep., Artif. Intell. Lab., Mass. Inst. Technol, Cambridge, Jan. 1993.
-
And F. Girosi, "Some Extensions of the K-means Algorithm for Image Segmentation and Pattern Classification," Tech. Rep., Artif. Intell. Lab., Mass. Inst. Technol, Cambridge, Jan.
-
-
Marroquin, J.L.1
-
23
-
-
0010536804
-
-
6, pp. 656-658, Sept. 1984.
-
D. M. Titterington, "Comments on 'application of the conditional population-mixture model to image segmentation,'" IEEE Trans. Pattern Anal. Machine Intell, vol. PAMI-6, pp. 656-658, Sept. 1984.
-
"Comments on 'Application of the Conditional Population-mixture Model to Image Segmentation,'" IEEE Trans. Pattern Anal. Machine Intell, Vol. PAMI
-
-
Titterington, D.M.1
-
25
-
-
0029376086
-
-
6, pp. 1081-1090, May 1995.
-
J. L. Marroquin, "Measure fields for function approximation," IEEE Trans. Neural Networks, vol. 6, pp. 1081-1090, May 1995.
-
"Measure Fields for Function Approximation," IEEE Trans. Neural Networks, Vol.
-
-
Marroquin, J.L.1
-
26
-
-
33749980424
-
-
0/1-loss, and the curse-of-dimensionality," Tech. Rep., Stanford Univ., Stanford, CA, 1996.
-
J. H. Friedman, "On bias, variance, 0/1-loss, and the curse-of-dimensionality," Tech. Rep., Stanford Univ., Stanford, CA, 1996.
-
"On Bias, Variance
-
-
Friedman, J.H.1
-
28
-
-
0001098776
-
-
11, no. 2, 1983.
-
J. Rissanen, "A universal prior for integers and estimation by minimum description length," A. Stat., vol. 11, no. 2, 1983.
-
Universal Prior for Integers and Estimation by Minimum Description Length," A. Stat., Vol.
-
-
Rissanen, J.1
-
29
-
-
11944266539
-
-
108, no. 2, pp. 620-630/171-190, May 1957.
-
E. T. Jaynes, "Information theory and statistical mechanics," Phys. Rev., vol. 108, no. 2, pp. 620-630/171-190, May 1957.
-
"Information Theory and Statistical Mechanics," Phys. Rev., Vol.
-
-
Jaynes, E.T.1
-
31
-
-
33747674152
-
-
4, pp. 1-52, 1992.
-
S. Geman, E. Bienenstock, and R. Doursat, "Neural networks and the bias/variance dilemma," Neural Comput., vol. 4, pp. 1-52, 1992.
-
Bienenstock, and R. Doursat, "Neural Networks and the Bias/variance Dilemma," Neural Comput., Vol.
-
-
Geman, S.1
-
32
-
-
33747708263
-
-
30th Conf. Inform. Sci. Syst., Princeton, NJ, Mar. 20-22, 1996, pp. 1061-1064.
-
Y. Wang, "Image quantification and the minimum conditional bias/variance criterion," in Proc. 30th Conf. Inform. Sci. Syst., Princeton, NJ, Mar. 20-22, 1996, pp. 1061-1064.
-
Quantification and the Minimum Conditional Bias/variance Criterion," in Proc.
-
-
Wang, Y.1
-
33
-
-
38249007369
-
-
10, pp. 141-148, 1989.
-
L. I. Perlovsky, "Cramer-Rao bounds for the estimation of normal mixtures," Pattern Recognit. Lett., vol. 10, pp. 141-148, 1989.
-
"Cramer-Rao Bounds for the Estimation of Normal Mixtures," Pattern Recognit. Lett., Vol.
-
-
Perlovsky, L.I.1
-
34
-
-
0025505758
-
-
12, pp. 1009-1017, Oct. 1990.
-
J. Zhang and J. M. Modestino, "A model-fitting approach to cluster validation with application to stochastic model-based image segmentation," IEEE Trans. Pattern Anal. Machine Intell, vol. 12, pp. 1009-1017, Oct. 1990.
-
J. M. Modestino, "A Model-fitting Approach to Cluster Validation with Application to Stochastic Model-based Image Segmentation," IEEE Trans. Pattern Anal. Machine Intell, Vol.
-
-
Zhang, J.1
-
35
-
-
0024137490
-
-
1, pp. 295-307, 1988.
-
R. A. Jacobs, "Increased rates of convergence through learning rate adaptation," Neural Networks, vol. 1, pp. 295-307, 1988.
-
"Increased Rates of Convergence through Learning Rate Adaptation," Neural Networks, Vol.
-
-
Jacobs, R.A.1
-
41
-
-
33747690566
-
-
1994, pp. 57-64.
-
M. J. Blanchi, A. Rios, and M. Kabuka, "An algorithm for detection of masses, skin contours, and enhancement of microcalcifications in mammograms," in Proc. Comput.-Assisted Radial., Winston-Salem, NC, June 1994, pp. 57-64.
-
A. Rios, and M. Kabuka, "An Algorithm for Detection of Masses, Skin Contours, and Enhancement of Microcalcifications in Mammograms," in Proc. Comput.-Assisted Radial., Winston-Salem, NC, June
-
-
Blanchi, M.J.1
|