8 citations · 17 across the 4 of their papers we have counts for
4 papers
Generalized Time Warping Invariant Dictionary Learning for Time Series Classification and Clustering
Ruiyu Xu, Chao Wang, Yongxiang Li +1
Dictionary learning is an effective tool for pattern recognition and classification of time series data. Among various dictionary learning techniques, the dynamic time warping (DTW…
A Scalable Gaussian Process for Large-Scale Periodic Data
Yongxiang Li, Yuting Pu, Changming Cheng +1
The periodic Gaussian process (PGP) has been increasingly used to model periodic data due to its high accuracy. Yet, computing the likelihood of PGP has a high computational comple…
Online Structural Change-point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning
Ruiyu Xu, Jianguo Wu, Xiaowei Yue +1
High-dimensional streaming data are becoming increasingly ubiquitous in many fields. They often lie in multiple low-dimensional subspaces, and the manifold structures may change ab…
Composite Inference for Gaussian Processes
Yongxiang Li, Qiang Zhou, Kwok Leung Tsui +1
Large-scale Gaussian process models are becoming increasingly important and widely used in many areas, such as, computer experiments, stochastic optimization via simulation, and ma…