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RISEdb: a Novel Indoor Localization Dataset
In this paper we introduce a novel public dataset for developing and benchmarking indoor localization systems.
Improving Ferns Ensembles by Sparsifying and Quantising Posterior Probabilities
Ferns ensembles offer an accurate and efficient multiclass non-linear classification, commonly at the expense of consuming a large amount of memory.
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