Handwriting recognition on form document using convolutional neural network and support vector machines (CNN-SVM)
暂无分享,去创建一个
[1] D. I. Sensuse,et al. Cattle Race Classification Using Gray Level Co-occurrence Matrix Convolutional Neural Networks , 2015 .
[2] Yann LeCun,et al. Convolutional neural networks applied to house numbers digit classification , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[3] Habibollah Haron,et al. Support Vector Machine (SVM) for English Handwritten Character Recognition , 2010, 2010 Second International Conference on Computer Engineering and Applications.
[4] Chih-Jen Lin,et al. Linear and Kernel Classification: When to Use Which? , 2016, SDM.
[5] Yann LeCun,et al. Regularization of Neural Networks using DropConnect , 2013, ICML.
[6] Shruthi,et al. Offline Handwritten Word Recognition using Multiple Features with SVM Classifier for Holistic Approach , 2015 .
[7] Yoshua Bengio,et al. Convolutional networks for images, speech, and time series , 1998 .
[8] Eko Prasetyo,et al. Data Mining : Mengolah Data Menjadi Informasi Menggunakan Matlab , 2015 .
[9] Andreas Christmann,et al. Support vector machines , 2008, Data Mining and Knowledge Discovery Handbook.
[10] Monji Kherallah,et al. A New Design Based-SVM of the CNN Classifier Architecture with Dropout for Offline Arabic Handwritten Recognition , 2016, ICCS.
[11] Ching Y. Suen,et al. Character Recognition Systems: A Guide for Students and Practitioners , 2007 .
[12] Benjamin Graham,et al. Sparse arrays of signatures for online character recognition , 2013, ArXiv.
[13] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[14] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[15] Satoshi Naoi,et al. Reconstruction combined training for convolutional neural networks on character recognition , 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).
[16] Chih-Jen Lin,et al. LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..
[17] Marcus Liwicki,et al. DeXpression: Deep Convolutional Neural Network for Expression Recognition , 2015, ArXiv.
[18] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[19] Chih-Jen Lin,et al. A dual coordinate descent method for large-scale linear SVM , 2008, ICML '08.
[20] Bogdan Kwolek,et al. Face Detection Using Convolutional Neural Networks and Gabor Filters , 2005, ICANN.
[21] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[22] Mohd Amir,et al. Automatic classification of handwritten and printed text in ICR boxes , 2014, 2014 IEEE International Advance Computing Conference (IACC).
[23] Ettyc Juharwidyningsih. PENGENALAN KARAKTER TULISAN TANGAN ANGKA DAN OPERATOR MATEMATIKA BERDASARKAN ZERNIKE MOMENTS MENGGUNAKAN PENGGABUNGAN FUZZY C-MEANS – K-NEAREST NEIGHBOR DAN SUPPORT VECTOR MACHINE , 2014 .
[24] Sumedha B. Hallale,et al. Twelve Directional Feature Extraction for Handwritten English Character Recognition , 2013 .
[25] Liu Xiao-hua,et al. Short-term Load Forecasting Based on Support Vector Machine , 2005 .
[26] Tushar Patnaik,et al. Recognition for Handwritten English Letters : A Review , 2013 .
[27] Sergios Theodoridis,et al. Machine Learning: A Bayesian and Optimization Perspective , 2015 .
[28] Li Yao,et al. Comparative Study of SVM Methods Combined with Voxel Selection for Object Category Classification on fMRI Data , 2011, PloS one.
[29] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[30] Marti A. Hearst. Trends & Controversies: Support Vector Machines , 1998, IEEE Intell. Syst..