-
1
-
-
33745699894
-
Transductive SVM for semisupervised classification of Hyperspectral data
-
Seoul, Korea: July
-
L. Bruzzone, M. Chi, and M. Marconcini, "Transductive SVM for semisupervised classification of Hyperspectral data," Proceeding of 2005 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'05), Seoul, Korea: July 2005.
-
(2005)
Proceeding of 2005 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'05)
-
-
Bruzzone, L.1
Chi, M.2
Marconcini, M.3
-
3
-
-
77957741951
-
On the mean accuracy of statistical pattern recognition
-
January
-
G. F. Hughes, "On the mean accuracy of statistical pattern recognition," IEEE Trans. Inform. Theory, vol. IT-14, pp. 55-63, January 1968.
-
(1968)
IEEE Trans. Inform. Theory
, vol.IT-14
, pp. 55-63
-
-
Hughes, G.F.1
-
4
-
-
16444386461
-
Quality assessment of classification and cluster maps without ground truth knowledge
-
April
-
A. Baraldi, L. Bruzzone and P. Blonda, "Quality assessment of classification and cluster maps without ground truth knowledge," IEEE Trans. Geosci. and Remote Sensing, vol. 43, no. 4, pp. 857-873, April 2005.
-
(2005)
IEEE Trans. Geosci. and Remote Sensing
, vol.43
, Issue.4
, pp. 857-873
-
-
Baraldi, A.1
Bruzzone, L.2
Blonda, P.3
-
5
-
-
0003450542
-
-
Berlin: Springer-Verlag
-
nd ed. Berlin: Springer-Verlag, 1999.
-
(1999)
nd Ed.
-
-
Vapnik, V.N.1
-
6
-
-
0028499630
-
The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon
-
September
-
B. M. Shahshahani and D. A. Landgrebe, "The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon," IEEE Trans. Geosci. Remote Sensing, vol. 32, no. 5, pp. 1087-1095, September 1994.
-
(1994)
IEEE Trans. Geosci. Remote Sensing
, vol.32
, Issue.5
, pp. 1087-1095
-
-
Shahshahani, B.M.1
Landgrebe, D.A.2
-
7
-
-
0036875946
-
Adaptive Bayesian contextual classification based on Markov random fields
-
Nov.
-
Q. Jackson and D. A. Landgrebe, "Adaptive Bayesian contextual classification based on Markov random fields," IEEE Trans. Geosci. Remote Sensing, 40 (11): 2454-2463, Nov. 2002.
-
(2002)
IEEE Trans. Geosci. Remote Sensing
, vol.40
, Issue.11
, pp. 2454-2463
-
-
Jackson, Q.1
Landgrebe, D.A.2
-
8
-
-
0036564114
-
An adaptive method for combined covariance estimation and classification
-
May
-
Q. Jackson and D. A. Landgrebe, "An adaptive method for combined covariance estimation and classification," IEEE Trans. Geosci. Remote Sensing, 40 (5): 1082-1087, May 2002.
-
(2002)
IEEE Trans. Geosci. Remote Sensing
, vol.40
, Issue.5
, pp. 1082-1087
-
-
Jackson, Q.1
Landgrebe, D.A.2
-
10
-
-
0033886917
-
Robust parameter estimation for mixture model
-
January
-
S. Tadjudin and D. A. Landgrebe, "Robust parameter estimation for mixture model," IEEE Trans. Geosci. Remote Sensing, 38(1): 439-445, January 2000.
-
(2000)
IEEE Trans. Geosci. Remote Sensing
, vol.38
, Issue.1
, pp. 439-445
-
-
Tadjudin, S.1
Landgrebe, D.A.2
-
12
-
-
0006609612
-
Invariant feature extraction and classification in kernel spaces
-
Cambridge, MA: MIT Press
-
S. Mika, G. Rätsch, B. Schölkopf, A. Smola, J. Weston and K.-R. Müller, "Invariant feature extraction and classification in kernel spaces," in Advances in Neural Information Processing Systems. Cambridge, MA: MIT Press, 1999, vol. 12.
-
(1999)
Advances in Neural Information Processing Systems
, vol.12
-
-
Mika, S.1
Rätsch, G.2
Schölkopf, B.3
Smola, A.4
Weston, J.5
Müller, K.-R.6
-
13
-
-
20444432773
-
Kernel-based methods for hyperspectral image classification
-
G. Camps-Valls and L. Bruzzone, "Kernel-based methods for hyperspectral image classification," IEEE Trans. Geosci. and Remote Sensing, vol. 43, no. 6, pp. 1351-1362, 2005.
-
(2005)
IEEE Trans. Geosci. and Remote Sensing
, vol.43
, Issue.6
, pp. 1351-1362
-
-
Camps-Valls, G.1
Bruzzone, L.2
-
14
-
-
0002829165
-
Robust ensemble learning
-
MA: MIT Press
-
G. Ratsch, B. Schökopf, A. Smola, S. Mika, T. Onoda and K.-R. Müller, "Robust ensemble learning," in Advances in Large Margin Classifiers, MA: MIT Press, 1999, pp. 207-219.
-
(1999)
Advances in Large Margin Classifiers
, pp. 207-219
-
-
Ratsch, G.1
Schökopf, B.2
Smola, A.3
Mika, S.4
Onoda, T.5
Müller, K.-R.6
-
15
-
-
0002947383
-
Learning by transduction
-
Madison, WI, July
-
A. Gammerman, V. Vapnik, and V. Vowk, "Learning by transduction," in Uncertainty in Artificial Intelligence, Madison, WI, July 1998, pp. 148-156.
-
(1998)
Uncertainty in Artificial Intelligence
, pp. 148-156
-
-
Gammerman, A.1
Vapnik, V.2
Vowk, V.3
-
16
-
-
0003991806
-
-
New York: John Wiley & Sons, Inc., 434-437, 518-520
-
V. N. Vapnik, Statistical Learning Theory. New York: John Wiley & Sons, Inc., 1998, pp. 339-371, 434-437, 518-520.
-
(1998)
Statistical Learning Theory
, pp. 339-371
-
-
Vapnik, V.N.1
-
19
-
-
0038731227
-
Learning with progressive transductive support vector machine
-
August
-
Y. Chen, G. Wang and D. S., "Learning with progressive transductive support vector machine," Pattern Recognition Letters, vol. 24, no. 12, pp. 1845-1855, August 2003.
-
(2003)
Pattern Recognition Letters
, vol.24
, Issue.12
, pp. 1845-1855
-
-
Chen, Y.1
Wang, G.2
S., D.3
-
20
-
-
0005004572
-
A probability analysis on the value of unlabeled data for classification problems
-
June
-
T. Zhang and F. Oles, "A probability analysis on the value of unlabeled data for classification problems." Int. Joint Conf. on Machine Learning, June 2000.
-
(2000)
Int. Joint Conf. on Machine Learning
-
-
Zhang, T.1
Oles, F.2
-
22
-
-
14644421528
-
Investigation of the random forest framework for classification of hyperspectral data
-
March
-
J. Ham, Y. Chen, M. Crawford and J. Ghosh, "Investigation of the Random Forest Framework for Classification of Hyperspectral Data," IEEE Trans. Geosci. and Remote Sensing, vol. 43, no. 16, March 2005.
-
(2005)
IEEE Trans. Geosci. and Remote Sensing
, vol.43
, Issue.16
-
-
Ham, J.1
Chen, Y.2
Crawford, M.3
Ghosh, J.4
|