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Showing 1 to 4 of 4 for “"Ensemble classification"”.
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Vehicle Tracking and Classification via 3D Geometries for Intelligent Transportation Systems
… techniques which allow for the tracking and classification of vehicles by tracking various Point(s) of Interest (PoI) on a vehicle. Tracking the various PoI allows for the composition of those points into 3D geometries which are unique to a given vehicle type. We demonstrate this technique …
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On pruning and feature engineering in Random Forests.
Random Forest (RF) is an ensemble classification technique that was developed by Leo Breiman over a decade ago. Compared with other ensemble techniques, it has proved its accuracy and superiority. Many researchers, however, believe that there is still room for optimizing RF further by enhancing and …
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Integrating Digital Aerial Photography and Lidar-Derived Information For Object-Based Coastal Tidal Marsh Classification Using Tree-Based Ensemble Algorithms
… And Ranging) data for intertidal vegetation classification in the upper May River watershed near Bluffton, South Carolina. An object-based image analysis (OBIA) approach was adopted for mapping the following detailed tidal marsh classes: tall creekbank spartina alterniflora, intermediate …
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Validating a Proposed Data Mining Approach (SLDM) for Motion Wearable Sensors to Detect the Early Signs of Lameness in Sheep
… feature selection methods, and applicable classification algorithm. Three classes are recognised for sheep while their walking throughout the data collection process (sound, mild, and severe lameness classes). The sheep data were collected using three different sensor applications (Sheep …