96 citations
- The University of TokyoJP4 papers
- Nikon (United States)US2 papers
- University of TsukubaJP2 papers
- Advanced Telecommunications Research Institute InternationalJP1 paper
- Damietta UniversityEG1 paper
- EdgeWave (Germany)DE1 paper
- Fermi National Accelerator LaboratoryUS1 paper
- Fraunhofer-GesellschaftDE1 paper
- Kansai UniversityJP1 paper
- Kavli Institute for the Physics and Mathematics of the UniverseJP1 paper
- Korea UniversityKR1 paper
- Medical University of ViennaAT1 paper
12 papers
Few-Shot Adaptation to Non-Stationary Environments via Latent Trend Embedding for Robotics
Yasuyuki Fujii, Emika Kameda, Hiroki Fukada +3
Robotic systems operating in real-world environments often suffer from concept shift, where the input-output relationship changes due to latent environmental factors that are not d…
Image formation theory of optical coherence tomography with optical aberrations and its application for computational aberration correction
Shuichi Makita, Naoki Fukutake, Lida Zhu +1
Computational corrections of defocus and aberrations in optical coherence tomography (OCT) offers a promising approach to realize high-resolution imaging with deep imaging depth, b…
Exact equality of the MSEs for two types of nonlinear adaptive systems: Saturation and dead-zone types
Seiji Miyoshi, Yua Yamaguchi
Adaptive signal processing systems, commonly utilized in applications such as active noise control and acoustic echo cancellation, often encompass nonlinearities due to hardware co…
Theoretical model for en face optical coherence tomography imaging and its application to volumetric differential contrast imaging
Kiriko Tomita, Shuichi Makita, Naoki Fukutake +10
A new formulation of lateral imaging process of point-scanning optical coherence tomography (OCT) and a new differential contrast method designed by using this formulation are pres…
Eigenvalue-invariant transformation of Ising problem for anti-crossing mitigation in quantum annealing
Toru Fujii, Koshi Komuro, Yosuke Okudaira +1
We have proposed the energy landscape transformation of Ising problems (ELTIP), which changes the combination of the state and eigenvalue without changing all the original eigenval…
Binary classification with ambiguous training data
Naoya Otani, Yosuke Otsubo, Tetsuya Koike +1
In supervised learning, we often face with ambiguous (A) samples that are difficult to label even by domain experts. In this paper, we consider a binary classification problem in t…