Deep Learning Publication Navigator - subtopic: dimensionality reduction

Year TitleAuthor
2017   Mean-field theory of input dimensionality reduction in unsupervised deep neural networks  H Huang
2017   Dimensionality Reduction for Hyperspectral Data Based on Sample-Dependent Repulsion Graph Regularized Auto-encoder  X WANG, Y KONG, Y CHENG 
2017   Dimensionality Reduction for Image Features using Deep Learning and Autoencoders  S Petscharnig, M Lux, S Chatzichristofis
2017   A survey of dimensionality reduction techniques based on random projection  H Xie, J Li, H Xue
2017   Vehicle Color Recognition with Vehicle-Color Saliency Detection and Dual-Orientational Dimensionality Reduction of CNN Deep Features  Q Zhang, J Li, L Zhuo, H Zhang, X Li
2017   Goal-Driven Dimensionality Reduction for Reinforcement Learning  S Parisi, S Ramstedt, J Peters
2016   Information Retrieval with Dimensionality Reduction using Deep Belief Networks  V Slot
2016   A Deep Neural Network Architecture Using Dimensionality Reduction with Sparse Matrices  W Matsumoto, M Hagiwara, PT Boufounos
2016   Guided Linear Dimensionality Reduction by Stochastic Gradient Descent  M Richter
2015   An optimized dimensionality reduction model for high-dimensional data based on Restricted Boltzmann Machines  K Zhang, J Liu, Y Chai, K Qian
2015   SOM and Feature Weights Based Method for Dimensionality Reduction in Large Gauss Linear Models  F Pavón, J Vega, SD Canto
2015   Novel Segmented Stacked AutoEncoder for Effective Dimensionality Reduction and Feature Extraction in Hyperspectral Imaging  J Zabalza, J Ren, J Zheng, H Zhao, C Qing, Z Yang
2015   A highly scalable modular bottleneck neural network for image dimensionality reduction and image transformation  M Carcenac, S Redif
2015   Auto-Encoder Based Dimensionality Reduction  Y Wang, H Yao, S Zhao
2015   Semi-Random Projection for Dimensionality Reduction and Extreme Learning Machine in High-Dimensional Space  R Zhao, K Mao
2015   Information Preserving Dimensionality Reduction  S Kushagra, S Ben
2015   Dimensionality reduction strategy based on auto-encoder  Y Wang, H Yao, S Zhao, Y Zheng