Unsupervised Learning of Disentangled Location Embeddings
2020 International Joint Conference on Neural Networks (IJCNN 2020)
Saved in:
Main Authors: | Ouyang, Kun, Liang, Yuxuan, Liu, Ye, David Samuel Rosenblum, Yang, Wenzhuo |
---|---|
Other Authors: | DEPARTMENT OF COMPUTER SCIENCE |
Format: | Conference or Workshop Item |
Published: |
2020
|
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/169442 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Unsupervised domain adaptation in the wild via disentangling representation learning
by: Li, Haoliang, et al.
Published: (2022) -
Revisiting Convolutional Neural Networks for Urban Flow Analytics
by: Liang, Yuxuan, et al.
Published: (2020) -
Pairwise sparsity preserving embedding for unsupervised subspace learning and classification
by: Zhang, Z., et al.
Published: (2014) -
Predicting Urban Water Quality with Ubiquitous Data - A Data-driven Approach
by: Liu, Ye, et al.
Published: (2020) -
Fine-Grained Urban Flow Inference
by: Ouyang, Kun, et al.
Published: (2020)