61 citations · 110 across the 4 of their papers we have counts for
5 papers
A Novel Framework for Online Amnesic Trajectory Compression in Resource-constrained Environments
Jiajun Liu, Kun Zhao, Philipp Sommer +4
State-of-the-art trajectory compression methods usually involve high space-time complexity or yield unsatisfactory compression rates, leading to rapid exhaustion of memory, computa…
Delay-Tolerant Networking for Long-Term Animal Tracking
Philipp Sommer, Branislav Kusy, Philip Valencia +2
Enabling Internet connectivity for mobile objects that do not have a permanent home or regular movements is a challenge due to their varying energy budget, intermittent wireless co…
Temporal Embedding in Convolutional Neural Networks for Robust Learning of Abstract Snippets
Jiajun Liu, Kun Zhao, Brano Kusy +2
The prediction of periodical time-series remains challenging due to various types of data distortions and misalignments. Here, we propose a novel model called Temporal embedding-en…
Bounded Quadrant System: Error-bounded Trajectory Compression on the Go
Jiajun Liu, Kun Zhao, Philipp Sommer +3
Long-term location tracking, where trajectory compression is commonly used, has gained high interest for many applications in transport, ecology, and wearable computing. However, s…
Optimal Lévy-flight foraging in a finite landscape
Kun Zhao, Raja Jurdak, Jiajun Liu +5
We present a simple model to study Lévy-flight foraging in a finite landscape with countable targets. In our approach, foraging is a step-based exploratory random search process wi…