Deep learners benefit more from out-of-distribution examples

Y Bengio, F Bastien, A Bergeron… - Proceedings of the …, 2011 - proceedings.mlr.press
Recent theoretical and empirical work in statistical machine learning has demonstrated the
potential of learning algorithms for deep architectures, ie, function classes obtained by …

Deep self-taught learning for facial beauty prediction

J Gan, L Li, Y Zhai, Y Liu - Neurocomputing, 2014 - Elsevier
Most modern research of facial beauty prediction focuses on geometric features by
traditional machine learning methods. Geometric features may easily lose much feature …

[PDF][PDF] 深度学**在手写汉字识别中的应用综述

金连文, 钟卓耀, 杨钊, 杨维信, 谢泽澄, 孙俊 - 自动化学报, 2016 - aas.net.cn
摘要手写汉字识别(Handwritten Chinese character recognition, HCCR)
是模式识别的一个重要研究领域, 最**几十年来得到了广泛的研究与关注 …

[HTML][HTML] Classifying patient portal messages using Convolutional Neural Networks

L Sulieman, D Gilmore, C French, RM Cronin… - Journal of biomedical …, 2017 - Elsevier
Objective Patients communicate with healthcare providers via secure messaging in patient
portals. As patient portal adoption increases, growing messaging volumes may overwhelm …

DropRegion training of inception font network for high-performance Chinese font recognition

S Huang, Z Zhong, L **, S Zhang, H Wang - Pattern Recognition, 2018 - Elsevier
Chinese font recognition (CFR) has gained significant attention in recent years. However,
due to the sparsity of labeled font samples and the structural complexity of Chinese …

Meta-DPSTL: meta learning-based differentially private self-taught learning

UP Singh, IK Sinha, KP Singh, S Verma - International Journal of Machine …, 2024 - Springer
Self-taught learning models are successfully applied to improve the target model's
performance in different low-resource environments. In this setting, features are learned …

System and method for optical character recognition

M Singh, RK Ramanna, R Mannopantar - US Patent 9,990,564, 2018 - Google Patents
This disclosure relates to system and method for optical character recognition. In one
embodiment, the method comprises providing an image data to a plurality of customized …

Frame synchronization and multi-level subspace analysis for video based face recognition

X Tang, Z Li - Proceedings of the 2004 IEEE Computer Society …, 2004 - ieeexplore.ieee.org
In this paper, we develop a new video-to-video face recognition algorithm. The major
advantage of the video based method is that more information is available in a video …

Recognition of handwritten Lanna Dhamma characters using a set of optimally designed moment features

P Inkeaw, P Charoenkwan, HL Huang… - International Journal on …, 2017 - Springer
Lanna Dhamma alphabet was used mainly for religious communication in the ancient Lanna
Kingdom of Thailand. The old manuscripts using this alphabet are gradually decayed. It is …

Deep learning for image classification

R McCoppin, M Rizki - … , and Networking for Persistent ISR V, 2014 - spiedigitallibrary.org
This paper provides an overview of deep learning and introduces the several subfields of
deep learning including a specific tutorial of convolutional neural networks. Traditional …