activity
20172021
most citedLearning Koopman Invariant Subspaces for Dynamic Mode Decomposition

78 citations · 210 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO202161 cited

VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments

Koji Minoda, Fabian Schilling, Valentin Wüest +2

Dynamic environments such as urban areas are still challenging for popular visual-inertial odometry (VIO) algorithms. Existing datasets typically fail to capture the dynamic nature…

cs.RO20203 cited

Companion Unmanned Aerial Vehicles: A Survey

Chun Fui Liew, Takehisa Yairi

Recent technological advancements in small-scale unmanned aerial vehicles (UAVs) have led to the development of companion UAVs. Similar to conventional companion robots, companion…

cs.CL2018

Dynamic and Static Topic Model for Analyzing Time-Series Document Collections

Rem Hida, Naoya Takeishi, Takehisa Yairi +1

For extracting meaningful topics from texts, their structures should be considered properly. In this paper, we aim to analyze structured time-series documents such as a collection…

cs.RO201768 cited

Recent Developments in Aerial Robotics: A Survey and Prototypes Overview

Chun Fui Liew, Danielle DeLatte, Naoya Takeishi +1

In recent years, research and development in aerial robotics (i.e., unmanned aerial vehicles, UAVs) has been growing at an unprecedented speed, and there is a need to summarize the…

cs.LG201778 cited

Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition

Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi

Spectral decomposition of the Koopman operator is attracting attention as a tool for the analysis of nonlinear dynamical systems. Dynamic mode decomposition is a popular numerical…