Semantic categorization of outdoor scenes with uncertainty estimates using multi-class gaussian process classification
This paper presents a novel semantic categorization method for 3D point cloud data using supervised, multiclass Gaussian Process (GP) classification. In contrast to other approaches, and particularly Support Vector Machines, which probably are the most used method for this task to date, GPs have the...
Main Authors: | Paul, Rohan, Triebel, Rudolph, Rus, Daniela L, Newman, Paul |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2021
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Online Access: | https://hdl.handle.net/1721.1/129430 |
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