4 papers · 1 filter
On the Sparsity-Storage-Accuracy Tradeoff in Parsimoniously Activated Dictionary Learning
Zihui Zhao, Yuanbo Tang, Yang Li
Dictionary learning has long been studied from both optimization and probabilistic perspectives. While formulations with element-wise sparsity regularization (e.g., L1-based sparse…
Data-Efficient and Robust Trajectory Generation through Pathlet Dictionary Learning
Yuanbo Tang, Yan Tang, Zixuan Zhang +2
Trajectory generation has recently drawn growing interest in privacy-preserving urban mobility studies and location-based service applications. Although many studies have used deep…
A Unified Probabilistic Framework for Dictionary Learning with Parsimonious Activation
Zihui Zhao, Yuanbo Tang, Jieyu Ren +2
Dictionary learning is traditionally formulated as an -regularized signal reconstruction problem. While recent developments have incorporated discriminative, hierarchical, or…
Explainable Trajectory Representation through Dictionary Learning
Yuanbo Tang, Zhiyuan Peng, Yang Li
Trajectory representation learning on a network enhances our understanding of vehicular traffic patterns and benefits numerous downstream applications. Existing approaches using cl…