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Outlier removal algorithm in pose transformation
In SLAM algorithms, each keyframe is typically treated as a node, and sensor data is used to compute the pose transformations (rotation matrix R and translation vector t) between different keyframes. These pose transformations can be viewed as edges connecting the nodes, allowing the relationships between the nodes to be represented in the form of a ...openaire +1 more source
A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams
Big Data and Cognitive Computing, 2021Omar Alghushairy +2 more
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Heartbeat Selection Based on Outlier Removal
2022Miguel Carvalho, Susana Brás
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A Review on Outlier/Anomaly Detection in Time Series Data
ACM Computing Surveys, 2022Angel Conde, Jose A A Lozano
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Dataset profiling for outlier removal
Machine Learning from Challenging Data 2025Garrett Cayce, Colleen P. Bailey
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Outlier Detection Techniques for Wireless Sensor Networks: A Survey
IEEE Communications Surveys and Tutorials, 2010Nirvana Meratnia, Paul Havinga
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Technology Forecasting using Patent Outlier Removal
Journal of Korean Institute of Intelligent Systems, 2018Hyekyeong Park +3 more
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A Survey of Outlier Detection Methodologies
Artificial Intelligence Review, 2004Victoria J Hodge, Jim Austin
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There and back again: Outlier detection between statistical reasoning and data mining algorithms
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2018Arthur Zimek, Peter Filzmoser
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