Nov 7, 2022 · We propose a novel framework named TrajGS (Trajectory top-k query with Generic Similarity) which is an improved approach based on deep metric learning.

To enable more types of data mining and analysis for web services, we propose a learning-based approach for multi-scenario trajectory similarity search with the ...

Oct 31, 2022 · To enable more types of data mining and analysis for web services, we propose a learning-based approach for multi-scenario trajectory similarity ...

Nov 1, 2022 · To enable more types of data mining and analysis for web services, we propose a learning-based approach for multi-scenario trajectory similarity ...

Protein structure similarity search (PSSS), which tries to search proteins with similar structures, plays a crucial role across diverse domains from drug design ...

A Learning-Based Approach for Multi-scenario Trajectory Similarity Search. C Feng, Z Pan, J Fang, P Chao, A Liu, L Zhao. International Conference on Web ...

Apr 13, 2024 · A Learning-Based Approach for Multi-scenario Trajectory Similarity Search. November 2022 · Lecture Notes in Computer Science. Junhua Fang ...

LHMM: A Learning Enhanced HMM Model for Cellular Trajectory Map Matching · pdf ... A Learning-Based Approach for Multi-scenario Trajectory Similarity Search ...

In this paper, we propose a methodology which lets us evaluate the meaningfulness of the deep trajectory representations in t2vec.

Jun 12, 2024 · We revisited both non-learned and deep learning-based trajectory similarity measures and studied their empirical efficiency comprehensively.