| Level
|
Master +
|
| OneLineSummary
|
Anomaly Detection on Truck Histograms +
|
| Prerequisites
|
Artificial Intelligence and Learning Systems courses; good knowledge of machine learning and neural networks; python programming skills for implementing machine learning algorithms +
|
| References
|
Learning Low-Dimensional Representation of Bivariate Histogram Data
https://ieeexplore.ieee.org/abstract/document/8464276
|
| StudentProjectStatus
|
Open +
|
| Supervisors
|
Sepideh Pashami +
, Peter Berck +
|
| TimeFrame
|
Winter 2018, Spring 2019 +
|
| Title
|
Anomaly Detection on Truck Histograms +
|
| Categories |
StudentProject +
|
| Modification dateThis property is a special property in this wiki.
|
11 October 2018 09:06:16 +
|
