Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization
Credit card fraud detection is a very challenging problem because of the specific nature of
transaction data and the labeling process. The transaction data are peculiar because they …
transaction data and the labeling process. The transaction data are peculiar because they …
Soft sensor model development in multiphase/multimode processes based on Gaussian mixture regression
For complex industrial plants with multiphase/multimode data characteristic, Gaussian
mixture model (GMM) has been used for soft sensor modeling. However, almost all GMM …
mixture model (GMM) has been used for soft sensor modeling. However, almost all GMM …
Application of Gaussian Mixture Regression for the Correction of Low Cost PM2.5 Monitoring Data in Accra, Ghana
Low-cost sensors (LCSs) for air quality monitoring have enormous potential to improve air
quality data coverage in resource-limited parts of the world such as sub-Saharan Africa …
quality data coverage in resource-limited parts of the world such as sub-Saharan Africa …
Contour-based next-best view planning from point cloud segmentation of unknown objects
R Monica, J Aleotti - Autonomous Robots, 2018 - Springer
A novel strategy is presented to determine the next-best view for a robot arm, equipped with
a depth camera in eye-in-hand configuration, which is oriented to autonomous exploration of …
a depth camera in eye-in-hand configuration, which is oriented to autonomous exploration of …
Robot perception of static and dynamic objects with an autonomous floor scrubber
Z Yan, S Schreiberhuber, G Halmetschlager… - Intelligent Service …, 2020 - Springer
This paper presents the perception system of a new professional cleaning robot for large
public places. The proposed system is based on multiple sensors including 3D and 2D …
public places. The proposed system is based on multiple sensors including 3D and 2D …
Separation of geochemical anomalies from the sample data of unknown distribution population using Gaussian mixture model
Y Chen, W Wu - Computers & Geosciences, 2019 - Elsevier
The separation of geochemical anomalies from the sample data of unknown distribution
population is a great challenge, as it is difficult to determine the correct model for the …
population is a great challenge, as it is difficult to determine the correct model for the …
Reliable real-time change detection and mapping for 3D LiDARs
A common scenario in Search and Rescue robotics is to map and patrol a disaster site to
assess the situation and plan potential missions of rescue teams. Particular importance has …
assess the situation and plan potential missions of rescue teams. Particular importance has …
The power of GMMs: Unsupervised dirt spot detection for industrial floor cleaning robots
A Grünauer, G Halmetschlager-Funek, J Prankl… - … Robotic Systems: 18th …, 2017 - Springer
Small autonomous florr cleaning robots are the first robots to have entered our homes.
These automatic vacuum cleaners have only used ver low-level dirt detection sensors and …
These automatic vacuum cleaners have only used ver low-level dirt detection sensors and …
A KinFu based approach for robot spatial attention and view planning
When a user and a robot share the same physical workspace the robot may need to keep an
updated 3D representation of the environment. Indeed, robot systems often need to …
updated 3D representation of the environment. Indeed, robot systems often need to …
Removing non-static objects from 3D laser scan data
For the purpose of visualization and further post-processing of 3D point cloud data, it is often
desirable to remove moving objects from a given data set. Common examples for these …
desirable to remove moving objects from a given data set. Common examples for these …