Ikami, D.
* 2017: Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems
* 2018: Fast and Robust Estimation for Unit-Norm Constrained Linear Fitting Problems
* 2018: Joint Optimization Framework for Learning with Noisy Labels
* 2018: Local and Global Optimization Techniques in Graph-Based Clustering
* 2020: Cascaded Transposed Long-range Convolutions for Monocular Depth Estimation
* 2020: Multi-task Curriculum Framework for Open-set Semi-supervised Learning
* 2020: Significance of Softmax-Based Features in Comparison to Distance Metric Learning-Based Features
* 2021: Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals, The
* 2021: Constrained Weight Optimization for Learning without Activation Normalization
* 2021: Generalized Domain Adaptation
* 2023: Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation
Includes: Ikami, D. Ikami, D.[Daiki]
11 for Ikami, D.
Ikami, N.
* 2013: Modeling and Analysis of Driving Behavior Based on a Probability-Weighted ARX Model