1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2020★ 1 cited
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…
cs.LG2020
Triplet Loss for Knowledge Distillation
Hideki Oki, Motoshi Abe, Junichi Miyao +1
In recent years, deep learning has spread rapidly, and deeper, larger models have been proposed. However, the calculation cost becomes enormous as the size of the models becomes la…
cs.CV2020
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…