Event detection in continuous video: An inference in point process approach
Z Qin, CR Shelton - IEEE Transactions on Image Processing, 2017 - ieeexplore.ieee.org
We propose a novel approach toward event detection in real-world continuous video
sequences. The method: 1) is able to model arbitrary-order non-Markovian dependences in …
sequences. The method: 1) is able to model arbitrary-order non-Markovian dependences in …
[PDF][PDF] Auxiliary Gibbs Sampling for Inference in Piecewise-Constant Conditional Intensity Models.
Z Qin, CR Shelton - UAI, 2015 - researchgate.net
A piecewise-constant conditional intensity model (PCIM) is a non-Markovian model of
temporal stochastic dependencies in continuoustime event streams. It allows efficient …
temporal stochastic dependencies in continuoustime event streams. It allows efficient …
Marginalized continuous time Bayesian networks for network reconstruction from incomplete observations
Abstract Continuous Time Bayesian Networks (CTBNs) provide a powerful means to model
complex network dynamics. How-ever, their inference is computationally demanding …
complex network dynamics. How-ever, their inference is computationally demanding …
[图书][B] Multivariate Continuous-Time Models: Approximate Inference Algorithms and Medical Informatics Applications
EB Celikkaya - 2016 - search.proquest.com
Temporal modeling of real-life systems, such as social networks, financial markets and
medical decision-support systems, is important to understand them better, and make …
medical decision-support systems, is important to understand them better, and make …
[图书][B] Modeling Social and Temporal Context for Video Analysis
Z Qin - 2015 - search.proquest.com
The ubiquity of videos requires effective content extraction tools to enable practical
applications automatically. Computer vision research focuses on bridging the gap between …
applications automatically. Computer vision research focuses on bridging the gap between …