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在“SpringerLink电子期刊”中，命中：2,163条，耗时：0.0259742 秒

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1. A methodology based on Deep Learning for advert value calculation in CPM, CPC and CPA networks

作者： Luis Miralles-Pechuán ; Dafne Rosso ; Fernando Jiménez ; Jose M. García

关键词：Advertisement value calculation in CPM ; CPC and CPA networks ; Deep Learning methods in online advertising ; Sales prediction ; Spam probability calculation ; CTR estimation ; Deep Learning in advertisement value calculation

刊名：Soft Computing

出版年：2017

2. Spectral–spatial multi-feature-based deep learning for hyperspectral remote sensing image classification

作者： Lizhe Wang ; Jiabin Zhang ; Peng Liu ; Kim-Kwang Raymond Choo ; Fang Huang

关键词：Multi ; feature learning ; Hyperspectral image classification ; Deep learning ; Remote sensing

刊名：Soft Computing

出版年：2017

3. Maximum-Margin Structured Learning with Deep Networks for 3D Human Pose Estimation

作者： Sijin Li ; Weichen Zhang ; Antoni B. Chan

关键词：Structured learning ; Deep learning ; Human pose estimation

刊名：International Journal of Computer Vision

出版年：2017

4. Disambiguating named entities with deep supervised learning via crowd labels

作者： Le-kui Zhou ; Si-liang Tang ; Jun Xiao ; Fei Wu…

关键词：Key wordsNamed entity disambiguation ; Crowdsourcing ; Deep learning

刊名：Frontiers of Information Technology & Electronic Engineering

出版年：2017

5. An efficient system for anomaly detection using deep learning classifier

作者： A. R. Revathi ; Dhananjay Kumar

关键词：Abnormal detection ; EER ; Deep learning ; Background model ; Video surveillance

刊名：Signal, Image and Video Processing

出版年：2017

6. Multi-retinal disease classification by reduced deep learning features

作者： R. Arunkumar ; P. Karthigaikumar

关键词：ANN ; Deep learning ; Retina

刊名：Neural Computing and Applications

出版年：2017

7. Smile detection in the wild with deep convolutional neural networks

作者： Junkai Chen ; Qihao Ou ; Zheru Chi ; Hong Fu

关键词：Smile detection ; In the wild ; Deep learning ; Feature learning ; Convolution neural network

刊名：Machine Vision and Applications

出版年：2017

8. Design strategy for optimal iterative learning control applied on a deep drawing process

作者： B. Endelt

关键词：Machine learning ; Iterative learning control ; In ; process control ; Feedback control ; Metal forming ; Deep drawing ; Finite element method ; Process robustness

刊名：The International Journal of Advanced Manufacturing Technology

出版年：2017

9. Deep Learning Architectures for DNA Sequence Classification

关键词：DNA sequence classification ; Convolutional Neural Networks ; Recurrent Neural Networks ; Deep learning networks

刊名：Lecture Notes in Computer Science

出版年：2017

10. A Deep Learning Approach to Deal with Data Uncertainty in Sentiment Analysis

关键词：Deep learning ; Sentiment analysis ; Deep Belief Networks

刊名：Lecture Notes in Computer Science

出版年：2017

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