A MARFCLEF Approach to LifeCLEF 2015 Tasks

We make the rst use of MARF of fast signal-processing and related techniques for LifeCLEF 2015 identication tasks. We build an application based on a pattern recognition pipeline implemented in an open-source Modular A* Recognition Framework (MARF). MARF is also the name of the team in this submission. For that purpose to test and select among available algorithm a set of suitable algorithms. This is the rst implementation of the application we call MARFCLEFApp tested on a very small subset of algorithms available. The approach covers Bird-, Plant-, and FishCLEF tasks. It was expected the bird task would be the best for the presented approach given MARF's original intent for audio recognition. However, lack of enough run-time it turned out to be the worst one and is under the investigation. Processing FishCLEF however yield the best of the three tasks, which was expected to be the worst. Team MARF's results for FishCLEF were the 2nd team after with the Run 1 being the best of the three.

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