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A Hybrid MLP-SVM Model for Classification using Spatial-Spectral Features on Hyper-Spectral Images
There are many challenges in the classification of hyper spectral images such as large dimensionality, scarcity of labeled data and spatial variability of spectral signatures.
A Scalable Framework for Trajectory Prediction
To address these limitations, we propose a scalable clustering and Markov chain based hybrid framework, called Traj-clusiVAT-based TP, for both short-term and long-term trajectory prediction, which can handle a large number of overlapping trajectories in a dense road network.
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