29 citations · 35 across the 4 of their papers we have counts for
4 papers
Naive Gabor Networks for Hyperspectral Image Classification
Chenying Liu, Jun Li, Lin He +3
Recently, many convolutional neural network (CNN) methods have been designed for hyperspectral image (HSI) classification since CNNs are able to produce good representations of dat…
Lifelong Spectral Clustering
Gan Sun, Yang Cong, Qianqian Wang +2
In the past decades, spectral clustering (SC) has become one of the most effective clustering algorithms. However, most previous studies focus on spectral clustering tasks with a f…
Deep Discriminative Representation Learning with Attention Map for Scene Classification
Jun Li, Daoyu Lin, Yang Wang +2
Learning powerful discriminative features for remote sensing image scene classification is a challenging computer vision problem. In the past, most classification approaches were b…
Sparse Deep Stacking Network for Image Classification
Jun Li, Heyou Chang, Jian Yang
Sparse coding can learn good robust representation to noise and model more higher-order representation for image classification. However, the inference algorithm is computationally…