-
1
-
-
0023148717
-
Modified quadratic discriminant functions and the application to Chinese character recognition
-
[1] Kimura, F., Takashina, K., Tsuruoka, S., Miyake, Y., Modified quadratic discriminant functions and the application to Chinese character recognition. IEEE Trans. Pattern Anal. Mach. Intell. 1 (1987), 149–153.
-
(1987)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.1
, pp. 149-153
-
-
Kimura, F.1
Takashina, K.2
Tsuruoka, S.3
Miyake, Y.4
-
2
-
-
34250311763
-
Chinese character recognition: history, status and prospects
-
[2] Dai, R.-W., Liu, C.-L., Xiao, B.-H., Chinese character recognition: history, status and prospects. Front. Comput. Sci. China 1:2 (2007), 126–136.
-
(2007)
Front. Comput. Sci. China
, vol.1
, Issue.2
, pp. 126-136
-
-
Dai, R.-W.1
Liu, C.-L.2
Xiao, B.-H.3
-
3
-
-
0742286182
-
Online recognition of Chinese characters: the state-of-the-art
-
[3] Liu, C.-L., Jaeger, S., Nakagawa, M., Online recognition of Chinese characters: the state-of-the-art. IEEE Trans. Pattern Anal. Mach. Intell. 26:2 (2004), 198–213.
-
(2004)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.26
, Issue.2
, pp. 198-213
-
-
Liu, C.-L.1
Jaeger, S.2
Nakagawa, M.3
-
4
-
-
0036859709
-
Lexicon-driven segmentation and recognition of handwritten character strings for Japanese address reading
-
[4] Liu, C.-L., Koga, M., Fujisawa, H., Lexicon-driven segmentation and recognition of handwritten character strings for Japanese address reading. IEEE Trans. Pattern Anal. Mach. Intell. 24:11 (2002), 1425–1437.
-
(2002)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.24
, Issue.11
, pp. 1425-1437
-
-
Liu, C.-L.1
Koga, M.2
Fujisawa, H.3
-
5
-
-
84883165322
-
Handwritten Chinese/Japanese text recognition using semi-Markov conditional random fields
-
[5] Zhou, X.-D., Wang, D.-H., Tian, F., Liu, C.-L., Nakagawa, M., Handwritten Chinese/Japanese text recognition using semi-Markov conditional random fields. IEEE Trans. Pattern Anal. Mach. Intell. 35:10 (2013), 2484–2497.
-
(2013)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.35
, Issue.10
, pp. 2484-2497
-
-
Zhou, X.-D.1
Wang, D.-H.2
Tian, F.3
Liu, C.-L.4
Nakagawa, M.5
-
6
-
-
84862652667
-
Handwritten Chinese text recognition by integrating multiple contexts
-
[6] Wang, Q.-F., Yin, F., Liu, C.-L., Handwritten Chinese text recognition by integrating multiple contexts. IEEE Trans. Pattern Anal. Mach. Intell. 34:8 (2012), 1469–1481.
-
(2012)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.34
, Issue.8
, pp. 1469-1481
-
-
Wang, Q.-F.1
Yin, F.2
Liu, C.-L.3
-
7
-
-
12844284750
-
Effects of classifier structures and training regimes on integrated segmentation and recognition of handwritten numeral strings
-
[7] Liu, C.-L., Sako, H., Fujisawa, H., Effects of classifier structures and training regimes on integrated segmentation and recognition of handwritten numeral strings. IEEE Trans. Pattern Anal. Mach. Intell. 26:11 (2004), 1395–1407.
-
(2004)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.26
, Issue.11
, pp. 1395-1407
-
-
Liu, C.-L.1
Sako, H.2
Fujisawa, H.3
-
8
-
-
78651433994
-
Chinese handwriting recognition contest 2010, in: Proceedings of Chinese Conference on Pattern Recognition (CCPR), 2010
-
[8] C.-L. Liu, F. Yin, D.-H. Wang, Q.-F. Wang, Chinese handwriting recognition contest 2010, in: Proceedings of Chinese Conference on Pattern Recognition (CCPR), 2010.
-
-
-
Liu, C.-L.1
Yin, F.2
Wang, D.-H.3
Wang, Q.-F.4
-
9
-
-
82355169298
-
-
ICDAR 2011 Chinese handwriting recognition competition, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR)
-
[9] C.-L. Liu, F. Yin, Q.-F. Wang, D.-H. Wang, ICDAR 2011 Chinese handwriting recognition competition, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2011, pp. 1464–1469.
-
(2011)
, pp. 1464-1469
-
-
Liu, C.-L.1
Yin, F.2
Wang, Q.-F.3
Wang, D.-H.4
-
10
-
-
84889574049
-
-
ICDAR 2013 Chinese handwriting recognition competition, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR)
-
[10] F. Yin, Q.-F. Wang, X.-Y. Zhang, C.-L. Liu, ICDAR 2013 Chinese handwriting recognition competition, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2013, pp. 1095–1101.
-
(2013)
, pp. 1095-1101
-
-
Yin, F.1
Wang, Q.-F.2
Zhang, X.-Y.3
Liu, C.-L.4
-
11
-
-
84881039921
-
-
Flexible, high performance convolutional neural networks for image classification, in: Proceedings of International Joint Conference on Artificial Intelligence (IJCAI)
-
[11] D. Ciresan, U. Meier, J. Masci, L. Gambardella, J. Schmidhuber, Flexible, high performance convolutional neural networks for image classification, in: Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), 2011, pp. 1237–1242.
-
(2011)
, pp. 1237-1242
-
-
Ciresan, D.1
Meier, U.2
Masci, J.3
Gambardella, L.4
Schmidhuber, J.5
-
12
-
-
84988499977
-
-
Sparse arrays of signatures for online character recognition, >〈arXiv:1308.0371〉
-
[12] B. Graham, Sparse arrays of signatures for online character recognition, 2013, 〈arXiv:1308.0371〉.
-
(2013)
-
-
Graham, B.1
-
13
-
-
84879854889
-
Representation learning: a review and new perspectives
-
[13] Bengio, Y., Courville, A., Vincent, P., Representation learning: a review and new perspectives. IEEE Trans. Pattern Anal. Mach. Intell. 35:8 (2013), 1798–1828.
-
(2013)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.35
, Issue.8
, pp. 1798-1828
-
-
Bengio, Y.1
Courville, A.2
Vincent, P.3
-
14
-
-
84962582760
-
Improved deep convolutional neural network for online handwritten Chinese character recognition using domain-specific knowledge, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2015
-
[14] W. Yang, L. Jin, Z. Xie, Z. Feng, Improved deep convolutional neural network for online handwritten Chinese character recognition using domain-specific knowledge, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2015.
-
-
-
Yang, W.1
Jin, L.2
Xie, Z.3
Feng, Z.4
-
15
-
-
84962585201
-
High performance offline handwritten Chinese character recognition using GoogLeNet and directional feature maps, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2015
-
[15] Z. Zhong, L. Jin, Z. Xie, High performance offline handwritten Chinese character recognition using GoogLeNet and directional feature maps, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2015.
-
-
-
Zhong, Z.1
Jin, L.2
Xie, Z.3
-
16
-
-
0024171115
-
Classification of handprinted Chinese characters using non-linear normalization and correlation methods, in: Proceedings of International Conference on Pattern Recognition (ICPR), 1988, pp
-
[16] J. Tsukumo and H. Tanaka, Classification of handprinted Chinese characters using non-linear normalization and correlation methods, in: Proceedings of International Conference on Pattern Recognition (ICPR), 1988, pp. 168–171.
-
-
-
Tsukumo, J.1
Tanaka, H.2
-
17
-
-
0742311729
-
-
Handwritten Chinese character recognition: alternatives to nonlinear normalization, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR)
-
[17] C.-L. Liu, H. Sako, H. Fujisawa, Handwritten Chinese character recognition: alternatives to nonlinear normalization, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2003, pp. 524–528.
-
(2003)
, pp. 524-528
-
-
Liu, C.-L.1
Sako, H.2
Fujisawa, H.3
-
18
-
-
25144509599
-
Pseudo two-dimensional shape normalization methods for handwritten Chinese character recognition
-
[18] Liu, C.-L., Marukawa, K., Pseudo two-dimensional shape normalization methods for handwritten Chinese character recognition. Pattern Recognit. 38:12 (2005), 2242–2255.
-
(2005)
Pattern Recognit.
, vol.38
, Issue.12
, pp. 2242-2255
-
-
Liu, C.-L.1
Marukawa, K.2
-
19
-
-
84866013178
-
Online and offline handwritten Chinese character recognition: benchmarking on new databases
-
[19] Liu, C.-L., Yin, F., Wang, D.-H., Wang, Q.-F., Online and offline handwritten Chinese character recognition: benchmarking on new databases. Pattern Recognit. 46:1 (2013), 155–162.
-
(2013)
Pattern Recognit.
, vol.46
, Issue.1
, pp. 155-162
-
-
Liu, C.-L.1
Yin, F.2
Wang, D.-H.3
Wang, Q.-F.4
-
20
-
-
0030705503
-
-
On-line handwriting character recognition method with directional features and directional change features, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR)
-
[20] M. Okamoto, A. Nakamura, K. Yamamoto, On-line handwriting character recognition method with directional features and directional change features, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 1997, pp. 926–930.
-
(1997)
, pp. 926-930
-
-
Okamoto, M.1
Nakamura, A.2
Yamamoto, K.3
-
21
-
-
33947424805
-
A study on the use of 8-directional features for online handwritten Chinese character recognition, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2005, pp
-
[21] Z. Bai, Q. Huo, A study on the use of 8-directional features for online handwritten Chinese character recognition, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2005, pp. 262–266.
-
-
-
Bai, Z.1
Huo, Q.2
-
22
-
-
34447273338
-
Normalization-cooperated gradient feature extraction for handwritten character recognition
-
[22] Liu, C.-L., Normalization-cooperated gradient feature extraction for handwritten character recognition. IEEE Trans. Pattern Anal. Mach. Intell. 29:8 (2007), 1465–1469.
-
(2007)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.29
, Issue.8
, pp. 1465-1469
-
-
Liu, C.-L.1
-
23
-
-
84876231242
-
-
ImageNet classification with deep convolutional neural networks, in: Proceedings of Advances in Neural Information Processing Systems (NIPS)
-
[23] A. Krizhevsky, I. Sutskever, G. Hinton, ImageNet classification with deep convolutional neural networks, in: Proceedings of Advances in Neural Information Processing Systems (NIPS), 2012, pp. 1097–1105.
-
(2012)
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.3
-
24
-
-
84937522268
-
Going deeper with convolutions, in: Proceedings of Computer Vision and Pattern Recognition (CVPR), 2015
-
[24] C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, A. Rabinovich, Going deeper with convolutions, in: Proceedings of Computer Vision and Pattern Recognition (CVPR), 2015.
-
-
-
Szegedy, C.1
Liu, W.2
Jia, Y.3
Sermanet, P.4
Reed, S.5
Anguelov, D.6
Erhan, D.7
Vanhoucke, V.8
Rabinovich, A.9
-
25
-
-
85083953063
-
Very deep convolutional networks for large-scale image recognition, in: Proceedings of International Conference on Learning Representations (ICLR), 2015
-
[25] K. Simonyan, A. Zisserman, Very deep convolutional networks for large-scale image recognition, in: Proceedings of International Conference on Learning Representations (ICLR), 2015.
-
-
-
Simonyan, K.1
Zisserman, A.2
-
26
-
-
13344275837
-
Style consistent classification of isogenous patterns
-
[26] Sarkar, P., Nagy, G., Style consistent classification of isogenous patterns. IEEE Trans. Pattern Anal. Mach. Intell. 27:1 (2005), 88–98.
-
(2005)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.27
, Issue.1
, pp. 88-98
-
-
Sarkar, P.1
Nagy, G.2
-
27
-
-
0036522405
-
Writer adaptation for online handwriting recognition
-
[27] Connell, S., Jain, A., Writer adaptation for online handwriting recognition. IEEE Trans. Pattern Anal. Mach. Intell. 24:3 (2002), 329–346.
-
(2002)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.24
, Issue.3
, pp. 329-346
-
-
Connell, S.1
Jain, A.2
-
28
-
-
84876733279
-
Writer adaptation with style transfer mapping
-
[28] Zhang, X.-Y., Liu, C.-L., Writer adaptation with style transfer mapping. IEEE Trans. Pattern Anal. Mach. Intell. 35:7 (2013), 1773–1787.
-
(2013)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.35
, Issue.7
, pp. 1773-1787
-
-
Zhang, X.-Y.1
Liu, C.-L.2
-
29
-
-
0019009104
-
Automatic recognition of handprinted characters: the state of the art, in: Proceedings of IEEE, vol
-
68, no. 4
-
[29] C. Suen, M. Berthod, S. Mori, Automatic recognition of handprinted characters: the state of the art, in: Proceedings of IEEE, vol. 68, no. 4, 1980, pp. 469–487.
-
(1980)
, pp. 469-487
-
-
Suen, C.1
Berthod, M.2
Mori, S.3
-
30
-
-
0025468480
-
The state of the art in online handwriting recognition
-
[30] Tappert, C., Suen, C., Wakahara, T., The state of the art in online handwriting recognition. IEEE Trans. Pattern Anal. Mach. Intell. 12:8 (1990), 787–808.
-
(1990)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.12
, Issue.8
, pp. 787-808
-
-
Tappert, C.1
Suen, C.2
Wakahara, T.3
-
31
-
-
0027542176
-
Optical recognition of handwritten Chinese characters: advances since 1980
-
[31] Hildebrandt, T., Liu, W., Optical recognition of handwritten Chinese characters: advances since 1980. Pattern Recognit. 26:2 (1993), 205–225.
-
(1993)
Pattern Recognit.
, vol.26
, Issue.2
, pp. 205-225
-
-
Hildebrandt, T.1
Liu, W.2
-
32
-
-
0033640745
-
Online and offline handwriting recognition: a comprehensive survey
-
[32] Plamondon, R., Srihari, S., Online and offline handwriting recognition: a comprehensive survey. IEEE Trans. Pattern Anal. Mach. Intell. 22:1 (2000), 63–84.
-
(2000)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.22
, Issue.1
, pp. 63-84
-
-
Plamondon, R.1
Srihari, S.2
-
33
-
-
42749094384
-
Forty years of research in character and document recognition: an industrial perspective
-
[33] Fujisawa, H., Forty years of research in character and document recognition: an industrial perspective. Pattern Recognit. 41:8 (2008), 2435–2446.
-
(2008)
Pattern Recognit.
, vol.41
, Issue.8
, pp. 2435-2446
-
-
Fujisawa, H.1
-
34
-
-
33746600649
-
Reducing the dimensionality of data with neural networks
-
[34] Hinton, G., Salakhutdinov, R., Reducing the dimensionality of data with neural networks. Science 313:5786 (2006), 504–507.
-
(2006)
Science
, vol.313
, Issue.5786
, pp. 504-507
-
-
Hinton, G.1
Salakhutdinov, R.2
-
35
-
-
84930630277
-
Deep learning
-
[35] LeCun, Y., Bengio, Y., Hinton, G., Deep learning. Nature 521:7553 (2015), 436–444.
-
(2015)
Nature
, vol.521
, Issue.7553
, pp. 436-444
-
-
LeCun, Y.1
Bengio, Y.2
Hinton, G.3
-
36
-
-
0032203257
-
-
Gradient-based learning applied to document recognition, in: Proceedings of IEEE, vol. 86, no. 11
-
[36] Y. LeCun, L. Bottou, Y. Bengio, P. Haffner, Gradient-based learning applied to document recognition, in: Proceedings of IEEE, vol. 86, no. 11, 1998, pp. 2278–2324.
-
(1998)
, pp. 2278-2324
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
37
-
-
84866714584
-
-
Multi-column deep neural networks for image classification, in: Proceedings of Computer Vision and Pattern Recognition (CVPR)
-
[37] D. Ciresan, U. Meier, J. Schmidhuber, Multi-column deep neural networks for image classification, in: Proceedings of Computer Vision and Pattern Recognition (CVPR), 2012, pp. 3642–3649.
-
(2012)
, pp. 3642-3649
-
-
Ciresan, D.1
Meier, U.2
Schmidhuber, J.3
-
38
-
-
84988455030
-
-
Multi-column deep neural networks for offline handwritten Chinese character classification, >〈arXiv:1309.0261〉
-
[38] D. Ciresan, J. Schmidhuber, Multi-column deep neural networks for offline handwritten Chinese character classification, 2013, 〈arXiv:1309.0261〉.
-
(2013)
-
-
Ciresan, D.1
Schmidhuber, J.2
-
39
-
-
84988513468
-
-
Spatially-sparse convolutional neural networks, >〈arXiv:1409.6070〉
-
[39] B. Graham, Spatially-sparse convolutional neural networks, 2014, 〈arXiv:1409.6070〉.
-
(2014)
-
-
Graham, B.1
-
40
-
-
84942244321
-
Handwritten character recognition by alternately trained relaxation convolutional neural network, in: Proceedings of International Conference on Frontiers in Handwriting Recognition (ICFHR), 2014, pp
-
[40] C. Wu, W. Fan, Y. He, J. Sun, S. Naoi, Handwritten character recognition by alternately trained relaxation convolutional neural network, in: Proceedings of International Conference on Frontiers in Handwriting Recognition (ICFHR), 2014, pp. 291–296.
-
-
-
Wu, C.1
Fan, W.2
He, Y.3
Sun, J.4
Naoi, S.5
-
41
-
-
84978829341
-
Beyond human recognition: A CNN-based framework for handwritten character recognition, in: Proceedings of Asian Conference on Pattern Recognition (ACPR), 2015
-
[41] L. Chen, S. Wang, W. Fan, J. Sun, S. Naoi, Beyond human recognition: A CNN-based framework for handwritten character recognition, in: Proceedings of Asian Conference on Pattern Recognition (ACPR), 2015.
-
-
-
Chen, L.1
Wang, S.2
Fan, W.3
Sun, J.4
Naoi, S.5
-
42
-
-
84923053679
-
Handwritten Hangul recognition using deep convolutional neural networks
-
[42] Kim, I.-J., Xie, X., Handwritten Hangul recognition using deep convolutional neural networks. Int. J. Doc. Anal. Recognit. 18:1 (2015), 1–13.
-
(2015)
Int. J. Doc. Anal. Recognit.
, vol.18
, Issue.1
, pp. 1-13
-
-
Kim, I.-J.1
Xie, X.2
-
43
-
-
84988499999
-
-
DropSample: a new training method to enhance deep convolutional neural networks for large-scale unconstrained handwritten Chinese character recognition, #x003E;〈arXiv:1505.05354〉
-
[43] W. Yang, L. Jin, D. Tao, Z. Xie, Z. Feng, DropSample: a new training method to enhance deep convolutional neural networks for large-scale unconstrained handwritten Chinese character recognition, 2015, 〈arXiv:1505.05354〉.
-
(2015)
-
-
Yang, W.1
Jin, L.2
Tao, D.3
Xie, Z.4
Feng, Z.5
-
44
-
-
84962538652
-
-
Character-level Chinese writer identification using path signature feature, dropstroke and deep CNN, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2015
-
[44] W. Yang, L. Jin, M. Liu, Character-level Chinese writer identification using path signature feature, dropstroke and deep CNN, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2015.
-
-
-
Yang, W.1
Jin, L.2
Liu, M.3
-
45
-
-
85119544356
-
-
An MQDF-CNN hybrid model for offline handwritten Chinese character recognition, in: Proceedings of International Conference on Frontiers in Handwriting Recognition (ICFHR)
-
[45] Y. Wang, X. Li, C. Liu, X. Ding, Y. Chen, An MQDF-CNN hybrid model for offline handwritten Chinese character recognition, in: Proceedings of International Conference on Frontiers in Handwriting Recognition (ICFHR), 2014.
-
(2014)
-
-
Wang, Y.1
Li, X.2
Liu, C.3
Ding, X.4
Chen, Y.5
-
46
-
-
84962552999
-
Recognition confidence analysis of handwritten Chinese character with CNN, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2015
-
[46] M. He, S. Zhang, H. Mao, L. Jin, Recognition confidence analysis of handwritten Chinese character with CNN, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2015.
-
-
-
He, M.1
Zhang, S.2
Mao, H.3
Jin, L.4
-
47
-
-
84919933364
-
Recognition of handwritten characters in Chinese legal amounts by stacked autoencoders, in: Proceedings of International Conference on Pattern Recognition (ICPR), 2014
-
[47] M. Wang, Y. Chen, X. Wang, Recognition of handwritten characters in Chinese legal amounts by stacked autoencoders, in: Proceedings of International Conference on Pattern Recognition (ICPR), 2014.
-
-
-
Wang, M.1
Chen, Y.2
Wang, X.3
-
48
-
-
84988496433
-
Deep features for text spotting, in: Proceedings of European Conference on Computer Vision (ECCV), 2014
-
[48] M. Jaderberg, A. Vedaldi, A. Zisserman, Deep features for text spotting, in: Proceedings of European Conference on Computer Vision (ECCV), 2014.
-
-
-
Jaderberg, M.1
Vedaldi, A.2
Zisserman, A.3
-
49
-
-
0029411630
-
LeRec: a NN/HMM hybrid for on-line handwriting recognition
-
[49] Bengio, Y., LeCun, Y., Nohl, C., Burges, C., LeRec: a NN/HMM hybrid for on-line handwriting recognition. Neural Comput. 7:6 (1995), 1289–1303.
-
(1995)
Neural Comput.
, vol.7
, Issue.6
, pp. 1289-1303
-
-
Bengio, Y.1
LeCun, Y.2
Nohl, C.3
Burges, C.4
-
50
-
-
71249112130
-
Offline handwriting recognition with multidimensional recurrent neural networks, in: Proceedings of Advances in Neural Information Processing Systems (NIPS), 2008, pp
-
[50] A. Graves, J. Schmidhuber, Offline handwriting recognition with multidimensional recurrent neural networks, in: Proceedings of Advances in Neural Information Processing Systems (NIPS), 2008, pp. 545–552.
-
-
-
Graves, A.1
Schmidhuber, J.2
-
51
-
-
84962554879
-
-
Segmentation-free handwritten Chinese text recognition with LSTM-RNN, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR)
-
[51] R. Messina, J. Louradour, Segmentation-free handwritten Chinese text recognition with LSTM-RNN, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2015.
-
(2015)
-
-
Messina, R.1
Louradour, J.2
-
52
-
-
84988466821
-
-
Reading scene text in deep convolutional sequences, 〈arXiv:1506.04395〉
-
[52] P. He, W. Huang, Y. Qiao, C. Loy, X. Tang, Reading scene text in deep convolutional sequences, 2015, 〈arXiv:1506.04395〉.
-
(2015)
-
-
He, P.1
Huang, W.2
Qiao, Y.3
Loy, C.4
Tang, X.5
-
53
-
-
84988496393
-
-
An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition, 〈arXiv:1507.05717〉
-
[53] B. Shi, X. Bai, C. Yao, An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition, 2015, 〈arXiv:1507.05717〉.
-
(2015)
-
-
Shi, B.1
Bai, X.2
Yao, C.3
-
54
-
-
84875736280
-
A discriminative linear regression approach to adaptation of multi-prototype based classifiers and its applications for Chinese OCR
-
[54] Du, J., Huo, Q., A discriminative linear regression approach to adaptation of multi-prototype based classifiers and its applications for Chinese OCR. Pattern Recognit. 46:8 (2013), 2313–2322.
-
(2013)
Pattern Recognit.
, vol.46
, Issue.8
, pp. 2313-2322
-
-
Du, J.1
Huo, Q.2
-
55
-
-
84903716812
-
-
Historical Chinese character recognition method based on style transfer mapping, in: International Workshop on Document Analysis Systems (DAS)
-
[55] B. Li, L. Peng, J. Ji, Historical Chinese character recognition method based on style transfer mapping, in: International Workshop on Document Analysis Systems (DAS), 2014, pp. 96–100.
-
(2014)
, pp. 96-100
-
-
Li, B.1
Peng, L.2
Ji, J.3
-
56
-
-
84923975148
-
Gaussian process style transfer mapping for historical Chinese character recognition, in: Proceedings of SPIE, Document Recognition and Retrieval, 2015
-
[56] J. Feng, L. Peng, F. Lebourgeois, Gaussian process style transfer mapping for historical Chinese character recognition, in: Proceedings of SPIE, Document Recognition and Retrieval, 2015.
-
-
-
Feng, J.1
Peng, L.2
Lebourgeois, F.3
-
57
-
-
0035283342
-
Evaluation of prototype learning algorithms for nearest neighbor classifier in application to handwritten character recognition
-
[57] Liu, C.-L., Nakagawa, M., Evaluation of prototype learning algorithms for nearest neighbor classifier in application to handwritten character recognition. Pattern Recognit. 34:3 (2001), 601–615.
-
(2001)
Pattern Recognit.
, vol.34
, Issue.3
, pp. 601-615
-
-
Liu, C.-L.1
Nakagawa, M.2
-
58
-
-
84988515477
-
-
One-shot adaptation of supervised deep convolutional models, 〈arXiv:1312.6204〉
-
[58] J. Hoffman, E. Tzeng, J. Donahue, Y. Jia, K. Saenko, T. Darrell, One-shot adaptation of supervised deep convolutional models, 2013, 〈arXiv:1312.6204〉.
-
(2013)
-
-
Hoffman, J.1
Tzeng, E.2
Donahue, J.3
Jia, Y.4
Saenko, K.5
Darrell, T.6
-
59
-
-
84919881041
-
-
DeCAF: a deep convolutional activation feature for generic visual recognition, in: Proceedings of International Conference on Machine Learning (ICML)
-
[59] J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, T. Darrell, DeCAF: a deep convolutional activation feature for generic visual recognition, in: Proceedings of International Conference on Machine Learning (ICML), 2014.
-
(2014)
-
-
Donahue, J.1
Jia, Y.2
Vinyals, O.3
Hoffman, J.4
Zhang, N.5
Tzeng, E.6
Darrell, T.7
-
60
-
-
0043166439
-
Handwritten digit recognition: benchmarking of state-of-the-art techniques
-
[60] Liu, C.-L., Nakashima, K., Sako, H., Fujisawa, H., Handwritten digit recognition: benchmarking of state-of-the-art techniques. Pattern Recognit. 36:10 (2003), 2271–2285.
-
(2003)
Pattern Recognit.
, vol.36
, Issue.10
, pp. 2271-2285
-
-
Liu, C.-L.1
Nakashima, K.2
Sako, H.3
Fujisawa, H.4
-
61
-
-
84988454895
-
-
Online Japanese character recognition using trajectory-based normalization and direction feature extraction, in: Proceedings of International Workshop on Frontiers in Handwriting Recognition (IWFHR)
-
[61] C.-L. Liu, X.-D. Zhou, Online Japanese character recognition using trajectory-based normalization and direction feature extraction, in: Proceedings of International Workshop on Frontiers in Handwriting Recognition (IWFHR), 2006, pp. 217–222.
-
(2006)
, pp. 217-222
-
-
Liu, C.-L.1
Zhou, X.-D.2
-
62
-
-
71249144811
-
An investigation of imaginary stroke technique for cursive online handwriting Chinese character recognition, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2009, pp
-
[62] K. Ding, G. Deng, L. Jin, An investigation of imaginary stroke technique for cursive online handwriting Chinese character recognition, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2009, pp. 531–535.
-
-
-
Ding, K.1
Deng, G.2
Jin, L.3
-
63
-
-
0031061906
-
The box-cox metric for nearest neighbor classification improvement
-
[63] Heiden, R., Gren, F., The box-cox metric for nearest neighbor classification improvement. Pattern Recognit. 30:2 (1997), 273–279.
-
(1997)
Pattern Recognit.
, vol.30
, Issue.2
, pp. 273-279
-
-
Heiden, R.1
Gren, F.2
-
64
-
-
84876699815
-
Evaluation of weighted Fisher criteria for large category dimensionality reduction in application to Chinese handwriting recognition
-
[64] Zhang, X.-Y., Liu, C.-L., Evaluation of weighted Fisher criteria for large category dimensionality reduction in application to Chinese handwriting recognition. Pattern Recognit. 46:9 (2013), 2599–2611.
-
(2013)
Pattern Recognit.
, vol.46
, Issue.9
, pp. 2599-2611
-
-
Zhang, X.-Y.1
Liu, C.-L.2
-
65
-
-
34047229533
-
High accuracy handwritten Chinese character recognition using quadratic classifiers with discriminative feature extraction, in: Proceedings of International Conference on Pattern Recognition (ICPR), 2006, pp
-
[65] C.-L. Liu, High accuracy handwritten Chinese character recognition using quadratic classifiers with discriminative feature extraction, in: Proceedings of International Conference on Pattern Recognition (ICPR), 2006, pp. 942–945.
-
-
-
Liu, C.-L.1
-
66
-
-
2442596064
-
Discriminative learning quadratic discriminant function for handwriting recognition
-
[66] Liu, C.-L., Sako, H., Fujisawa, H., Discriminative learning quadratic discriminant function for handwriting recognition. IEEE Trans. Neural Netw. 15:2 (2004), 430–444.
-
(2004)
IEEE Trans. Neural Netw.
, vol.15
, Issue.2
, pp. 430-444
-
-
Liu, C.-L.1
Sako, H.2
Fujisawa, H.3
-
67
-
-
84889593518
-
Locally smoothed modified quadratic discriminant function, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2013, pp
-
[67] X.-Y. Zhang, C.-L. Liu, Locally smoothed modified quadratic discriminant function, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2013, pp. 8–12.
-
-
-
Zhang, X.-Y.1
Liu, C.-L.2
-
68
-
-
84904163933
-
Dropout: a simple way to prevent neural networks from overfitting
-
[68] Srivastava, N., Hinton, G., Krizhevsky, A., Sutskever, I., Salakhutdinov, R., Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15:1 (2014), 1929–1958.
-
(2014)
J. Mach. Learn. Res.
, vol.15
, Issue.1
, pp. 1929-1958
-
-
Srivastava, N.1
Hinton, G.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.5
-
69
-
-
84893676344
-
Rectifier nonlinearities improve neural network acoustic models, in: Proceedings of International Conference on Machine Learning (ICML), 2013
-
[69] A. Maas, A. Hannun, A. Ng, Rectifier nonlinearities improve neural network acoustic models, in: Proceedings of International Conference on Machine Learning (ICML), 2013.
-
-
-
Maas, A.1
Hannun, A.2
Ng, A.3
-
70
-
-
84988460705
-
-
Delving deep into rectifiers: surpassing human-level performance on ImageNet classification, 〈arXiv:1502.01852〉
-
[70] K. He, X. Zhang, S. Ren, J. Sun, Delving deep into rectifiers: surpassing human-level performance on ImageNet classification, 2015, 〈arXiv:1502.01852〉.
-
(2015)
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
-
71
-
-
84988498049
-
-
Batch normalization: accelerating deep network training by reducing internal covariate shift, 〈arXiv:1502.03167〉
-
[71] S. Ioffe, C. Szegedy, Batch normalization: accelerating deep network training by reducing internal covariate shift, 2015, 〈arXiv:1502.03167〉.
-
(2015)
-
-
Ioffe, S.1
Szegedy, C.2
-
72
-
-
84988454946
-
-
Empirical evaluation of rectified activations in convolution network, 〈arXiv:1505.00853〉
-
[72] B. Xu, N. Wang, T. Chen, M. Li, Empirical evaluation of rectified activations in convolution network, 2015, 〈arXiv:1505.00853〉.
-
(2015)
-
-
Xu, B.1
Wang, N.2
Chen, T.3
Li, M.4
-
73
-
-
84862277874
-
Understanding the difficulty of training deep feedforward neural networks, in: Proceedings of International Conference on Artificial Intelligence and Statistics (AISTATS), 2010, pp
-
[73] X. Glorot, Y. Bengio, Understanding the difficulty of training deep feedforward neural networks, in: Proceedings of International Conference on Artificial Intelligence and Statistics (AISTATS), 2010, pp. 249–256.
-
-
-
Glorot, X.1
Bengio, Y.2
-
74
-
-
0022471098
-
Learning representations by back-propagating errors
-
[74] Rumelhart, D., Hinton, G., Williams, R., Learning representations by back-propagating errors. Nature 323:9 (1986), 533–536.
-
(1986)
Nature
, vol.323
, Issue.9
, pp. 533-536
-
-
Rumelhart, D.1
Hinton, G.2
Williams, R.3
-
75
-
-
84969549144
-
Learning transferable features with deep adaptation networks, in: Proceedings of International Conference on Machine Learning (ICML), 2015
-
[75] M. Long, Y. Cao, J. Wang, M. Jordan, Learning transferable features with deep adaptation networks, in: Proceedings of International Conference on Machine Learning (ICML), 2015.
-
-
-
Long, M.1
Cao, Y.2
Wang, J.3
Jordan, M.4
-
76
-
-
82355187632
-
-
offline Chinese handwriting databases, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR)
-
[76] C.-L. Liu, F. Yin, D.-H. Wang, Q.-F. Wang, CASIA online and offline Chinese handwriting databases, in: Proceedings of International Conference on Document Analysis and Recognition (ICDAR), 2011, pp. 37–41.
-
(2011)
, pp. 37-41
-
-
Liu, C.-L.1
Yin, F.2
Wang, D.-H.3
Wang, Q.-F.4
CASIA5
-
77
-
-
84988455017
-
-
AdaDelta: an adaptive learning rate method, 〈arXiv:1212.5701〉
-
[77] M. Zeiler, AdaDelta: an adaptive learning rate method, 2012, 〈arXiv:1212.5701〉.
-
(2012)
-
-
Zeiler, M.1
-
78
-
-
85083951076
-
-
Adam: a method for stochastic optimization, in: Proceedings of International Conference on Learning Representations (ICLR)
-
[78] D. Kingma, J. Ba, Adam: a method for stochastic optimization, in: Proceedings of International Conference on Learning Representations (ICLR), 2015.
-
(2015)
-
-
Kingma, D.1
Ba, J.2
-
79
-
-
84988513442
-
-
Theano: new features and speed improvements, in: NIPS Deep Learning Workshop
-
[79] F. Bastien, P. Lamblin, R. Pascanu, J. Bergstra, I. Goodfellow, A. Bergeron, N. Bouchard, D. Warde-Farley, Y. Bengio, Theano: new features and speed improvements, in: NIPS Deep Learning Workshop, 2012.
-
(2012)
-
-
Bastien, F.1
Lamblin, P.2
Pascanu, R.3
Bergstra, J.4
Goodfellow, I.5
Bergeron, A.6
Bouchard, N.7
Warde-Farley, D.8
Bengio, Y.9
-
80
-
-
84988513447
-
-
Theano: a CPU and GPU math expression compiler, in: Proceedings of Python for Scientific Computing Conference (SciPy)
-
[80] J. Bergstra, O. Breuleux, F. Bastien, P. Lamblin, R. Pascanu, G. Desjardins, J. Turian, D. Warde-Farley, Y. Bengio, Theano: a CPU and GPU math expression compiler, in: Proceedings of Python for Scientific Computing Conference (SciPy), 2010.
-
(2010)
-
-
Bergstra, J.1
Breuleux, O.2
Bastien, F.3
Lamblin, P.4
Pascanu, R.5
Desjardins, G.6
Turian, J.7
Warde-Farley, D.8
Bengio, Y.9
-
81
-
-
84954314676
-
-
Deeply-supervised nets, in: Proceedings of International Conference on Artificial Intelligence and Statistics (AISTATS)
-
[81] C.-Y. Lee, S. Xie, P. Gallagher, Z. Zhang, Z. Tu, Deeply-supervised nets, in: Proceedings of International Conference on Artificial Intelligence and Statistics (AISTATS), 2015, pp. 562–570.
-
(2015)
, pp. 562-570
-
-
Lee, C.-Y.1
Xie, S.2
Gallagher, P.3
Zhang, Z.4
Tu, Z.5
-
82
-
-
70349284484
-
Supervised sequence labeling with recurrent neural networks, in: Studies in Computational Intelligence, Springer, 2012
-
[82] A. Graves, Supervised sequence labeling with recurrent neural networks, in: Studies in Computational Intelligence, Springer, 2012.
-
-
-
Graves, A.1
-
83
-
-
84988466876
-
-
Deep residual learning for image recognition, 〈arXiv:1512.03385〉
-
[83] K. He, X. Zhang, S. Ren, J. Sun, Deep residual learning for image recognition, 2015, 〈arXiv:1512.03385〉.
-
(2015)
-
-
He, K.1
Zhang, X.2
Ren, S.3
Sun, J.4
|