[1]
Tagougui N, Kherallah M, Alimi A M. Online Arabic handwriting recognition: a survey. International Journal on Document Analysis and Recognition (IJDAR), 2013, 16(3): 209-226.
DOI: 10.1007/s10032-012-0186-8
Google Scholar
[2]
Lunga D, Prasad S, Crawford M, et al. Manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning. Signal Processing Magazine, IEEE, 2014, 31(1): 55-66.
DOI: 10.1109/msp.2013.2279894
Google Scholar
[3]
Tao D, Liang L, Jin L, et al. Similar handwritten Chinese character recognition using discriminative locality alignment manifold learning. Document Analysis and Recognition (ICDAR), 2011 International Conference on. IEEE, 2011: 1012-1016.
DOI: 10.1109/icdar.2011.205
Google Scholar
[4]
Pless R, Souvenir R. A survey of manifold learning for images. IPSJ Transactions on Computer Vision and Applications, 2009, 1(0): 83-94.
DOI: 10.2197/ipsjtcva.1.83
Google Scholar
[5]
Seung H S, Lee D D. The manifold ways of perception. Science, 2000, 290(5500): 2268-2269.
DOI: 10.1126/science.290.5500.2268
Google Scholar
[6]
Roweis S T, Saul L K. Nonlinear dimensionality reduction by locally linear embedding. Science, 2000, 290(5500): 2323-2326.
DOI: 10.1126/science.290.5500.2323
Google Scholar
[7]
Jumari K, A Ali M. A survey and comparative evaluation of selected off-line arabic handwritten character recognition systems. Jurnal Teknologi, 2012, 36(1): 1–18.
DOI: 10.11113/jt.v36.584
Google Scholar
[8]
Simard P Y, Le Cun Y A, Denker J S, et al. Transformation invariance in pattern recognition: Tangent distance and propagation. International Journal of Imaging Systems and Technology, vol. 11, no. 3, Jan. 2001, pp.181-197.
DOI: 10.1002/1098-1098(2000)11:3<181::aid-ima1003>3.0.co;2-e
Google Scholar