EffKannadaRes-NeXt: An efficient residual network for Kannada numeral recognition
暂无分享,去创建一个
Ankush Mittal | Aradhya Saini | Satyam Saini | Sandeep Daniel | A. Mittal | S. Saini | A. Saini | Sandeep Daniel
[1] Paul Geladi,et al. Principal Component Analysis , 1987, Comprehensive Chemometrics.
[2] Peter E. Hart,et al. Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.
[3] K Asha,et al. Kannada Handwritten Document Recognition using Convolutional Neural Network , 2018 .
[4] Yurong Qian,et al. Single Image Super-Resolution Reconstruction based on the ResNeXt Network , 2020, Multimedia Tools and Applications.
[5] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[6] Mert R. Sabuncu,et al. Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels , 2018, NeurIPS.
[7] Ankush Mittal,et al. ISL gesture recognition using multiple feature fusion , 2017, 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET).
[8] Sheikh Abujar,et al. Bangla Handwritten Digit Recognition Using Convolutional Neural Network , 2018, Advances in Intelligent Systems and Computing.
[9] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] M. Mahadeva Prasad. Improvement in the Online Handwritten Kannada Numeral Recognition with the Difference Feature , 2019 .
[11] Mahantapas Kundu,et al. DevNet: An Efficient CNN Architecture for Handwritten Devanagari Character Recognition , 2020, Int. J. Pattern Recognit. Artif. Intell..
[12] Mita Nasipuri,et al. Feature Selection Using Histogram-Based Multi-objective GA for Handwritten Devanagari Numeral Recognition , 2018 .
[13] U. V. Kulkarni,et al. Pattern Classification of Handwritten Kannada Digits Using Customized CNN , 2019 .
[14] Rozaida Ghazali,et al. Residual Neural Network Vs Local Binary Convolutional Neural Networks for Bilingual Handwritten Digit Recognition , 2020, SCDM.
[15] Aradhya Saini. An optimized interconnection network based on genetic algorithm , 2016, 2016 Fourth International Conference on Parallel, Distributed and Grid Computing (PDGC).
[16] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[17] Basanna V. Dhandra,et al. Energy-based features for Kannada handwritten digit recognition , 2020, IJCVR.
[18] S. M. Salim Reza,et al. Bangla handwritten character recognition using MobileNet V1 architecture , 2020, Bulletin of Electrical Engineering and Informatics.
[19] Deepika Gupta,et al. CNN-based multilingual handwritten numeral recognition: A fusion-free approach , 2021, Expert Syst. Appl..
[20] Vinay Uday Prabhu. Kannada-MNIST: A new handwritten digits dataset for the Kannada language , 2019, ArXiv.
[21] Akash Roy,et al. AKHCRNet: Bengali Handwritten Character Recognition Using Deep Learning , 2020, ArXiv.
[22] Balasubramanian Raman,et al. A Deep Learning Frame-Work for Recognizing Developmental Disorders , 2017, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).
[23] Fumitaka Kimura,et al. Recognition of Handwritten Kannada Numerals , 2006, 9th International Conference on Information Technology (ICIT'06).
[24] M. C. Padma,et al. Handwritten Kannada character recognition using wavelet transform and structural features , 2015, 2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT).
[25] S. Karthik,et al. Deep belief network based approach to recognize handwritten Kannada characters using distributed average of gradients , 2019, Cluster Computing.
[26] Employing Night-Time Light Images for Wealth Assessment in India: A Machine Learning Perspective , 2019, Proceedings of ICETIT 2019.
[27] Rahul Rishi,et al. Off-line Handwritten Numeral Recognition using Hybrid Feature Set - A Comparative Analysis , 2017, ITQM.
[28] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[29] K Indira,et al. Handwritten online character recognition for single stroke Kannada characters , 2017, 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT).
[30] Amit Choudhary,et al. Improved Handwritten Digit Recognition Using Convolutional Neural Networks (CNN) , 2020, Sensors.
[31] Rajendra Kumar Sharma,et al. Offline Handwritten Numeral Recognition using Combination of Different Feature Extraction Techniques , 2018 .
[32] Munish Kumar,et al. Character and numeral recognition for non-Indic and Indic scripts: a survey , 2019, Artificial Intelligence Review.
[33] Soumen Bag,et al. A Study on the Effect of CNN-Based Transfer Learning on Handwritten Indic and Mixed Numeral Recognition , 2018, DAR@ICVGIP.
[34] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[35] Pinaki Nath Chowdhury,et al. Handwritten Digit String Recognition for Indian Scripts , 2019, ACPR.
[36] Ravindra Hegadi,et al. Handwritten Kannada Numerals Recognition by Using Zone Features and CNN Classifier , 2019, Int. J. Technol. Hum. Interact..
[37] B. V. Dhandra,et al. Energy-based features for Kannada handwritten digit recognition , 2020 .
[38] Vinaya Sawant,et al. Implementation of Residual Network (ResNet) for Devanagari Handwritten Character Recognition , 2020 .
[39] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[40] Le Zhang,et al. Edge-SiamNet and Edge-TripleNet: New Deep Learning Models for Handwritten Numeral Recognition , 2020, IEICE Trans. Inf. Syst..
[41] Ankush Mittal,et al. Image based Indian monument recognition using convoluted neural networks , 2017, 2017 International Conference on Big Data, IoT and Data Science (BID).
[42] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[43] Anupam Shukla,et al. Hybrid evolutionary approach for Devanagari handwritten numeral recognition using Convolutional Neural Network , 2018 .
[44] Zhuowen Tu,et al. Aggregated Residual Transformations for Deep Neural Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Preman Ghadekar,et al. Handwritten Digit and Letter Recognition Using Hybrid DWT-DCT with KNN and SVM Classifier , 2018, 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA).