Deep learners benefit more from out-of-distribution examples
Recent theoretical and empirical work in statistical machine learning has demonstrated the
potential of learning algorithms for deep architectures, ie, function classes obtained by …
potential of learning algorithms for deep architectures, ie, function classes obtained by …
Deep self-taught learning for facial beauty prediction
Most modern research of facial beauty prediction focuses on geometric features by
traditional machine learning methods. Geometric features may easily lose much feature …
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 …
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
Objective Patients communicate with healthcare providers via secure messaging in patient
portals. As patient portal adoption increases, growing messaging volumes may overwhelm …
portals. As patient portal adoption increases, growing messaging volumes may overwhelm …
DropRegion training of inception font network for high-performance Chinese font recognition
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 …
due to the sparsity of labeled font samples and the structural complexity of Chinese …
Meta-DPSTL: meta learning-based differentially private self-taught learning
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 …
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 …
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
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 …
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
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 …
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 …
deep learning including a specific tutorial of convolutional neural networks. Traditional …