3 papers
cs.RO2022
An Efficient Accelerator for Deep Learning-based Point Cloud Registration on FPGAs
Keisuke Sugiura, Hiroki Matsutani
Point cloud registration is the basis for many robotic applications such as odometry and Simultaneous Localization And Mapping (SLAM), which are increasingly important for autonomo…
cs.LG2019
A Neural Network-Based On-device Learning Anomaly Detector for Edge Devices
Mineto Tsukada, Masaaki Kondo, Hiroki Matsutani
Semi-supervised anomaly detection is an approach to identify anomalies by learning the distribution of normal data. Backpropagation neural networks (i.e., BP-NNs) based approaches…
cs.AR2018
LaKe: An Energy Efficient, Low Latency, Accelerated Key-Value Store
Yuta Tokusashi, Hiroki Matsutani, Noa Zilberman
Key-value store is a popular type of cloud computing applications. The performance of key-value store applications have been shown to be very sensitive to load within the data cent…