A novel hybrid CNN-SVM classifier for recognizing handwritten digits
By Xiaoxiao Niu, Ching Yee Suen. 2012
672 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Luiz Oliveira
- Laurent Heutte
- Fabio Alexandre Spanhol
- Caroline Petitjean
- Yunlei Sun
- Xiao Sun
- Yuan Gao
- Hong Liang
Citations in the corpus
- ARDIS: a Swedish historical handwritten digit dataset (2019, neutral): “…recognition on smart phones, handwritten postal codes recognition to sort postal mails, processing bank check amounts, and storing documents and forms in digital formats based on handwritten numeric entries (e.g., year or document numbers) for easier retrieval and information collection [6–8].”
- Breast cancer histopathological image classification using Convolutional Neural Networks (2016, methodology): “Among the different approaches, the Convolutional Neural Network (CNN) introduced by LeCun in [14], has been widely used to achieve state-of-the-art results in different pattern recognition problems [15], [16].”
- Text feature extraction based on deep learning: a review (2017, methodology): “Kussul in 2006 was put forward by using permutation encoding technology of neural network in face recognition, handwritten digital recognition [100], and small object recognition tasks were made with some special performance of the classification system.”