Name
Abstract | ||
|---|---|---|
•Bayesian change-point detection on sequences of high-dimensional and heterogeneous observations with temporal structure.•Heterogeneous-cirdadian mixture models with non-stationary and periodic covariance functions.•Maximum-a-posteriori (MAP) detection from low-dimensional time-series of discrete latent variables.•Applied experiments to human behavior modelling and detection of changes in mental health patients. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.patcog.2021.107820 | Pattern Recognition |
Keywords | Field | DocType |
Change-point detection,Circadian models,Heterogeneous data,Latent variable models,Non-stationary periodic covariance functions | Change detection,Algorithm,Curse of dimensionality,Latent variable,Artificial intelligence,Periodic graph (geometry),Hierarchical database model,Mathematics,Manifold,Machine learning,Covariance | Journal |
Volume | Issue | ISSN |
113 | 1 | 0031-3203 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pablo Moreno-Muñoz | 1 | 2 | 1.40 |
| David Ramírez | 2 | 206 | 20.05 |
| Antonio Artés-Rodríguez | 3 | 206 | 34.76 |