1 citations · 2 across the 4 of their papers we have counts for
4 papers
Single-Image Super-Resolution Reconstruction based on the Differences of Neighboring Pixels
Huipeng Zheng, Lukman Hakim, Takio Kurita +1
The deep learning technique was used to increase the performance of single image super-resolution (SISR). However, most existing CNN-based SISR approaches primarily focus on establ…
q-SNE: Visualizing Data using q-Gaussian Distributed Stochastic Neighbor Embedding
Motoshi Abe, Junichi Miyao, Takio Kurita
The dimensionality reduction has been widely introduced to use the high-dimensional data for regression, classification, feature analysis, and visualization. As the one technique o…
Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network
Motoshi Abe, Junichi Miyao, Takio Kurita
A deep convolutional neural network (CNN) has been widely used in image classification and gives better classification accuracy than the other techniques. The softmax cross-entropy…
Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks
Kakeru Mitsuno, Junichi Miyao, Takio Kurita
In a deep neural network (DNN), the number of the parameters is usually huge to get high learning performances. For that reason, it costs a lot of memory and substantial computatio…