activity
20172020
most citedCiNCT: Compression and retrieval for massive vehicular trajectories via relative movement labeling

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB20202 cited

Fast Subtrajectory Similarity Search in Road Networks under Weighted Edit Distance Constraints

Satoshi Koide, Chuan Xiao, Yoshiharu Ishikawa

In this paper, we address a similarity search problem for spatial trajectories in road networks. In particular, we focus on the subtrajectory similarity search problem, which invol…

cs.LG2020

Neural Time Warping For Multiple Sequence Alignment

Keisuke Kawano, Takuro Kutsuna, Satoshi Koide

Multiple sequences alignment (MSA) is a traditional and challenging task for time-series analyses. The MSA problem is formulated as a discrete optimization problem and is typically…

cs.CV2020

PLG-IN: Pluggable Geometric Consistency Loss with Wasserstein Distance in Monocular Depth Estimation

Noriaki Hirose, Satoshi Koide, Keisuke Kawano +1

We propose a novel objective for penalizing geometric inconsistencies to improve the depth and pose estimation performance of monocular camera images. Our objective is designed usi…

math.OC2019

NERO: Nested Rebalancing Optimization for Mobility on Demand

Tomoki Nishi, Satoshi Koide, Keisuke Otaki +1

Mobility-on-Demand (MoD) services, such as taxi-like services, are promising applications. Rebalancing the vehicle locations against customer requests is a key challenge in the ser…

cs.DS20172 cited

CiNCT: Compression and retrieval for massive vehicular trajectories via relative movement labeling

Satoshi Koide, Yukihiro Tadokoro, Chuan Xiao +1

In this paper, we present a compressed data structure for moving object trajectories in a road network, which are represented as sequences of road edges. Unlike existing compressio…