An Overview of Deep-Structured Learning for Information Processing

Keywords

Computer science, Deep learning, Artificial intelligence, Discriminative model, Categorization

References

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• Use of Differential Cepstra as Acoustic Features in Hidden Trajectory Modeling for Phonetic RecognitionLi Deng, Dong Yu — 2007
• A Joint Source-Channel Model for Machine TransliterationHaizhou Li, Min Zhang, Jian Su — 2004

Cited by

• Deep Learning in Character Recognition Considering Pattern Invariance ConstraintsOyebade K. Oyedotun, Ebenezer O. Olaniyi, Adnan Khashman — 2015
• DopeLearning: A Computational Approach to Rap Lyrics GenerationEric Malmi, Pyry Takala, Hannu Toivonen — 2015
• Hierarchical deep belief networks based point process model for keywords spotting in continuous speechYi Wang, Junan Yang, Jun Lu — 2015
• Acoustic to articulatory mapping with deep neural networkZhiyong Wu, Kai Zhao, Xixin Wu — 2015
• Anatomical Structure Sketcher for Cephalograms by Bimodal Deep LearningYuru Pei, Bin Liu, Hongbin Zha — 2013
• A cluster-based multiple deep neural networks method for large vocabulary continuous speech recognitionPan Zhou, Cong Liu, Qingfeng Liu — 2013
• Isolated word recognition in the Sigma cognitive architectureHimanshu Joshi, Paul S. Rosenbloom, Volkan Ustun — 2014
• Hybrid auto encoder network for iris nevus diagnosis considering potential malignancyOyebade K. Oyedotun, Ebenezer O. Olaniyi, Abdulkader Helwan — 2015
• A real-time speech driven talking avatar based on deep neural networkKai Zhao, Zhiyong Wu, Lianhong Cai — 2013
• Improved Bottleneck Feature using Hierarchical Deep Belief Networks for Keyword Spotting in Continues SpeechYi Wang, Junan Yang, Hui Liu — 2013
• A tutorial survey of architectures, algorithms, and applications for deep learningLi Deng — 2014
• Deep Learning: Methods and ApplicationsLi Deng — 2014
• Approximate inference: A sampling based modeling technique to capture complex dependencies in a language modelAnoop Deoras, Tomáš Mikolov, Stefan Kombrink — 2012
• Pattern Recognition: Invariance Learning in Convolutional Auto Encoder NetworkOyebade K. Oyedotun, Kamil Dimililer — 2016
• Deep Neural Network Approach for Single Channel Speech Enhancement ProcessingDongfu Li — 2016
• Intrusion Detection System Using Deep Neural Network for In-Vehicle Network SecurityMin-Joo Kang, Je‐Won Kang — 2016
• Three Classes of Deep Learning Architectures and Their Applications: A Tutorial SurveyLi Deng — 2012
• Deep Learning for Signal and Information ProcessingLi Deng, Dong Yu — 2013
• Objective Evaluation of a Deep Neural Network Approach for Single-Channel Speech Intelligibility EnhancementDongfu Li, Martin Bouchard — 2016
• Learning features in deep architectures with unsupervised kernel k-meansKarl Ni, Ryan Prenger — 2013

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