Weite Li

According to our database, Weite Li authored at least 17 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Infrared Small Target Detection Based on Gradient-Intensity Joint Saliency Measure.

Yongsong Li, Zhengzhou Li, Weite Li, Yuchuan Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

2021

Deep Learning-Based Point Upsampling for Edge Enhancement of 3D-Scanned Data and Its Application to Transparent Visualization.

Weite Li, Kyoko Hasegawa, Liang Li, Akihiro Tsukamoto, Satoshi Tanaka

Remote. Sens., 2021

Application of the Edge Upsampling Network to Soft-Edge Regions in a 3D-Scanned Point Cloud.

Weite Li, Kyoko Hasegawa, Liang Li, Akihiro Tsukamoto, Hiroshi Yamaguchi, Fadjar I. Thufail, Brahmantara, Satoshi Tanaka

Proceedings of the Methods and Applications for Modeling and Simulation of Complex Systems, 2021

2019

Transparent Collision Visualization of Point Clouds Acquired by Laser Scanning.

Weite Li, Kenya Shigeta, Kyoko Hasegawa, Liang Li, Keiji Yano, Motoaki Adachi, Satoshi Tanaka

ISPRS Int. J. Geo Inf., 2019

A Semi-supervised Classification Using Gated Linear Model.

Yanni Ren, Weite Li, Jinglu Hu

Proceedings of the International Joint Conference on Neural Networks, 2019

A Deep Neural Network Based Hierarchical Multi-Label Classifier for Protein Function Prediction.

Xin Yuan, Weite Li, Kui Lin, Jinglu Hu

Proceedings of the 2019 International Conference on Computer, 2019

2018

One-Class Classification Using Quasi-Linear Support Vector Machine.

Peifeng Liang, Weite Li, Yudong Wang, Jinglu Hu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A Segmented Local Offset Method for Imbalanced Data Classification Using Quasi-Linear Support Vector Machine.

Peifeng Liang, Xin Yuan, Weite Li, Jinglu Hu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Large-scale image classification using fast SVM with deep quasi-linear kernel.

Peifeng Liang, Weite Li, Donghang Liu, Jinglu Hu

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Non-local information for a mixture of multiple linear classifiers.

Weite Li, Peifeng Liang, Xin Yuan, Jinglu Hu

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A multilayer gated bilinear classifier: From optimizing a deep rectified network to a support vector machine.

Weite Li, Jinglu Hu

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A mixture of multiple linear classifiers with sample weight and manifold regularization.

Weite Li, Benhui Chen, Bo Zhou, Jinglu Hu

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

A Deep Neural Network Based Quasi-Linear Kernel for Support Vector Machines.

Weite Li, Bo Zhou, Benhui Chen, Jinglu Hu

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016

A kernel level composition of multiple local classifiers for nonlinear classification.

Weite Li, Bo Zhou, Jinglu Hu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A deep quasi-linear kernel composition method for support vector machines.

Weite Li, Jinglu Hu, Benhui Chen

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Enhancing multi-label classification based on local label constraints and classifier chains.

Benhui Chen, Weite Li, Yuqing Zhang, Jinglu Hu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Geometric approach of quasi-linear kernel composition for support vector machine.

Weite Li, Jinglu Hu

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015