Multi-Sensor Clustering using Layered Affinity Propagation Lionel Ott1 and Fabio Ramos2 Abstract— Current robotic systems carry many diverse sensors such as laser scanners, cameras and inertial measurement units just t - Affinity analysis - Document - PDFSEARCH.IO

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	Multi-Sensor Clustering using Layered Affinity Propagation Lionel Ott1 and Fabio Ramos2 Abstract— Current robotic systems carry many diverse sensors such as laser scanners, cameras and inertial measurement units just t Add to Reading List Document Date: 2015-01-05 23:35:34 Open Document File Size: 1,87 MB Share Result on Facebook Facility University of Sydney / / IndustryTerm Online Clustering / energy function / good clustering solution / actual clustering solution / max-sum algorithm / robotic systems / energy function resulting / hierarchical processing / affinity propagation algorithm / overall consistent clustering solution / energy / / MarketIndex KITTI Vision / / Organization Federal Government / School of IT / Australian Centre for Field Robotics / University of Sydney / Pattern Analysis and Machine Intelligence / / Position chair / representative / Binary Variable Model for Affinity Propagation / engineer / / PublishedMedium IEEE Transactions on Pattern Analysis and Machine Intelligence / IEEE Transactions on Information Theory / / Technology laser / affinity propagation algorithm / Natural Language Processing / machine learning / max-sum algorithm / Sum-Product Algorithm / / SocialTag Cluster analysis Machine learning Hierarchical clustering Network analysis K-means clustering Segmentation Multivariate statistics Spectral clustering Belief propagation Statistics

Multi-Sensor Clustering using Layered Affinity Propagation Lionel Ott1 and Fabio Ramos2 Abstract— Current robotic systems carry many diverse sensors such as laser scanners, cameras and inertial measurement units just tAdd to Reading List