Classification methods of a small sample target object in the sky based on the higher layer visualizing feature and transfer learning deep networks

[1]  Naif Alajlan,et al.  Using convolutional features and a sparse autoencoder for land-use scene classification , 2016 .

[2]  Bin Fang,et al.  Scene classification based on single-layer SAE and SVM , 2015, Expert Syst. Appl..

[3]  Yangyu Fan,et al.  The effect of whitening transformation on pooling operations in convolutional autoencoders , 2015, EURASIP J. Adv. Signal Process..

[4]  Bo Du,et al.  Saliency-Guided Unsupervised Feature Learning for Scene Classification , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Jiasong Wu,et al.  Quaternion softmax classifier , 2014 .

[6]  Tadahiro Taniguchi,et al.  Visualization of driving behavior using deep sparse autoencoder , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.

[7]  Jürgen Schmidhuber,et al.  Deep learning in neural networks: An overview , 2014, Neural Networks.

[8]  Erkki Oja,et al.  Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning , 2013, ICONIP.

[9]  Wanggen Wan,et al.  Infrared and visible images fusion using Compressed Sensing based on average gradient , 2013, 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).

[10]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[11]  Yann LeCun,et al.  Pedestrian Detection with Unsupervised Multi-stage Feature Learning , 2012, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[12]  Pascal Vincent,et al.  Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  Honglak Lee,et al.  An Analysis of Single-Layer Networks in Unsupervised Feature Learning , 2011, AISTATS.

[14]  Jorma Laaksonen,et al.  Analyzing Emotional Semantics of Abstract Art Using Low-Level Image Features , 2011, IDA.

[15]  Jürgen Schmidhuber,et al.  Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction , 2011, ICANN.

[16]  Guigang Zhang,et al.  Deep Learning , 2016, Int. J. Semantic Comput..

[17]  Geoffrey E. Hinton,et al.  Deep Learning , 2015 .

[18]  Yoshua Bengio Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..

[19]  Luca Maria Gambardella,et al.  Flexible, High Performance Convolutional Neural Networks for Image Classification , 2011, IJCAI.