Low level visual feature extraction by learning of multiple tasks for Convolutional Neural Networks. - Hidenori Ide; Takio Kurita (IJCNN, 2016)

Improvement of learning for CNN with ReLU activation by sparse regularization. - Hidenori Ide; Takio Kurita (IJCNN, 2017)

Convolutional Neural Network with Discriminant Criterion for Input of Each Neuron in Output Layer. - Hidenori Ide; Takio Kurita (ICONIP (1), 2018)

Texture Segmentation using Siamese Network and Hierarchical Region Merging. - Ryusuke Yamada; Hidenori Ide; Novanto Yudistira; Takio Kurita (ICPR, 2018)

Simple ConvNet Based on Bag of MLP-Based Local Descriptors. - Takumi Kobayashi 001; Hidenori Ide; Kenji Watanabe (ICONIP (4), 2019)

Robust pruning for efficient CNNs. - Hidenori Ide; Takumi Kobayashi 001; Kenji Watanabe; Takio Kurita (Pattern Recognit. Lett., 2020)

Decomposition of Invariant and Variant Features by Using Convolutional Autoencoder. - Hidenori Ide; Hiromu Fujishige; Jun'ichi Miyao; Takio Kurita (IW-FCV, 2022)