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A Probabilistic Method for Ranking Refinement in Geographic Information Retrieval.

, , , , and . Procesamiento del Lenguaje Natural, (2010)

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A Probabilistic Method for Ranking Refinement in Geographic Information Retrieval., , , , and . Procesamiento del Lenguaje Natural, (2010)Frontal object perception using radar and mono-vision., , , and . Intelligent Vehicles Symposium, page 159-164. IEEE, (2012)Multiple Sensor Fusion and Classification for Moving Object Detection and Tracking., and . IEEE Trans. Intelligent Transportation Systems, 17 (2): 525-534 (2016)Multiple Sensor Fusion for Detection, Classification and Tracking of Moving Objects in Driving Environments. (Fusion multi-capteur pour la detection, classification et suivi d'objets mobiles en environnement routier).. University of Grenoble, France, (2014)Affordance Equivalences in Robotics: A Formalism., , , , and . Front. Neurorobot., (2018)Using a Markov Random Field for Image Re-ranking Based on Visual and Textual Features., , and . Computación y Sistemas, (2011)Toward Self-Aware Robots., , , , , , , , , and 1 other author(s). Front. Robotics and AI, (2018)Image Re-Ranking Based on Relevance Feedback Combining Internal and External Similarities., , and . FLAIRS Conference, AAAI Press, (2010)Fusion framework for moving-object classification., , , and . FUSION, page 1159-1166. IEEE, (2013)Fusion at detection level for frontal object perception., , and . Intelligent Vehicles Symposium, page 1225-1230. IEEE, (2014)