[PDF][PDF] Overview of Deep Kernel Learning Based Techniques and Applications.
X Chen, X Peng, JB Li, Y Peng - J. Netw. Intell., 2016 - bit.kuas.edu.tw
Machine learning, especially neural network algorithm, gets more attentions in the last
decades. With the in-depth study of intelligence algorithm and network structure, machine …
decades. With the in-depth study of intelligence algorithm and network structure, machine …
Image classification based on convolutional denoising sparse autoencoder
S Chen, H Liu, X Zeng, S Qian, J Yu… - Mathematical Problems …, 2017 - Wiley Online Library
Image classification aims to group images into corresponding semantic categories. Due to
the difficulties of interclass similarity and intraclass variability, it is a challenging issue in …
the difficulties of interclass similarity and intraclass variability, it is a challenging issue in …
Scene Recognition Based on Multi-feature Fusion for Indoor Robot
X Liu, W Hong, H Lu - … , ICONIP 2017, Guangzhou, China, November 14-18 …, 2017 - Springer
In this paper, a method of scene recognition based on multi feature fusion is proposed to
solve the problems of poor accuracy in scene recognition of intelligent home robot. Firstly …
solve the problems of poor accuracy in scene recognition of intelligent home robot. Firstly …
Learning Deep Neural Network Based Kernel Functions for Small Sample Size Classification
T Zheng, J Han, G Zheng - … 2017, Guangzhou, China, November 14-18 …, 2017 - Springer
Kernel learning is to learn a kernel function based on the set of all sample pairs from training
data. Even for small sample size classification tasks, the set size is mostly large enough to …
data. Even for small sample size classification tasks, the set size is mostly large enough to …