-
1
-
-
24644505035
-
Improved degraded document recognition with hybrid modeling techniques and character n-grams
-
A. Brakensiek, D. Willett, and G. Rigoll. Improved degraded document recognition with hybrid modeling techniques and character n-grams. In Proc. Intl. Conf. on Pattern Recognition, volume 4, pages 438-441, 2000.
-
(2000)
Proc. Intl. Conf. on Pattern Recognition
, vol.4
, pp. 438-441
-
-
Brakensiek, A.1
Willett, D.2
Rigoll, G.3
-
2
-
-
0034857749
-
Classification by probabilistic clustering
-
T. M. Breuel. Classification by probabilistic clustering. In Proc. Intl. Conf. on Acoustics, Speech, and Signal Processing, volume 2, pages 1333-1336, 2001.
-
(2001)
Proc. Intl. Conf. on Acoustics, Speech, and Signal Processing
, vol.2
, pp. 1333-1336
-
-
Breuel, T.M.1
-
4
-
-
84925644266
-
Strategies in character segmentation: A survey
-
Washington, DC, USA
-
R. G. Casey and E. Lecolinet. Strategies in character segmentation: a survey. In Proc. Intl. Conf. on Document Analysis and Recognition, volume 2, page 1028, Washington, DC, USA, 1995.
-
(1995)
Proc. Intl. Conf. on Document Analysis and Recognition
, vol.2
, pp. 1028
-
-
Casey, R.G.1
Lecolinet, E.2
-
5
-
-
1242263386
-
Automatic detection and recognition of signs from natural scenes
-
X. Chen, J. Yang, J. Zhang, and A. Waibel. Automatic detection and recognition of signs from natural scenes. IEEE Transactions on Image Processing, 13(1):87-99, 2004.
-
(2004)
IEEE Transactions on Image Processing
, vol.13
, Issue.1
, pp. 87-99
-
-
Chen, X.1
Yang, J.2
Zhang, J.3
Waibel, A.4
-
7
-
-
0024053929
-
Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression
-
J. G. Daugman. Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression. IEEE Transactions on Acoustics, Speech, and Signal. Processing, 36(7): 1169-1179, 1988.
-
(1988)
IEEE Transactions on Acoustics, Speech, and Signal. Processing
, vol.36
, Issue.7
, pp. 1169-1179
-
-
Daugman, J.G.1
-
8
-
-
84998655077
-
Handwritten Chinese character recognition using spatial Gabor filters and self-organizing feature maps
-
D. Deng, K. Chan, and Y. Yu. Handwritten Chinese character recognition using spatial Gabor filters and self-organizing feature maps. In Proc. Intl. Conf. on Image Processing, volume 3, pages 940-944, 1994.
-
(1994)
Proc. Intl. Conf. on Image Processing
, vol.3
, pp. 940-944
-
-
Deng, D.1
Chan, K.2
Yu, Y.3
-
9
-
-
9444295526
-
-
Technical report, Microsoft Research, One Microsoft Way, Redmond, WA 98052-6399
-
J. Goodman. Exponential priors for maximum entropy models. Technical report, Microsoft Research, One Microsoft Way, Redmond, WA 98052-6399, 2003.
-
(2003)
Exponential Priors for Maximum Entropy Models
-
-
Goodman, J.1
-
10
-
-
0030717952
-
Enhancing degraded document images via bitmap clustering and averaging
-
J. D. Hobby and T. K. Ho. Enhancing degraded document images via bitmap clustering and averaging. In Proc. Intl. Conf. on Document Analysis and Recognition, volume 1, pages 394-400, 1997.
-
(1997)
Proc. Intl. Conf. on Document Analysis and Recognition
, vol.1
, pp. 394-400
-
-
Hobby, J.D.1
Ho, T.K.2
-
12
-
-
0035246564
-
Factor graphs and the sum-product algorithm
-
Feb.
-
F. Kschischang, B. Frey, and H.-A.Loeliger. Factor graphs and the sum-product algorithm. IEEE Transactions on Information Theory, 47(2):498-519, Feb. 2001.
-
(2001)
IEEE Transactions on Information Theory
, vol.47
, Issue.2
, pp. 498-519
-
-
Kschischang, F.1
Frey, B.2
Loeliger, H.-A.3
-
13
-
-
0142192295
-
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
-
Morgan Kaufmann, San Francisco, CA
-
J. Lafferty, A. McCallum, and F. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proc. 18th International Conference on Machine Learning, pages 282-289. Morgan Kaufmann, San Francisco, CA, 2001.
-
(2001)
Proc. 18th International Conference on Machine Learning
, pp. 282-289
-
-
Lafferty, J.1
McCallum, A.2
Pereira, F.3
-
17
-
-
0000673452
-
Bayesian regularization and pruning using a Laplace prior
-
P. M. Williams. Bayesian regularization and pruning using a Laplace prior. Neural Computation, 7:117-143, 1995.
-
(1995)
Neural Computation
, vol.7
, pp. 117-143
-
-
Williams, P.M.1
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