Výsledky vyhledávání - "Van Parijs, Sofie"

While the animal bioacoustics community at large is collecting huge amounts of acoustic data at an unprecedented pace, processing these data is problematic. Currently in bioacoustics, there is no effective way to achieve high performance computing us

Externí odkaz: http://arxiv.org/abs/1605.00982

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Phase 3: DCL System Using Deep Learning Approaches for Land-based or Ship-based Real-Time Recognition and Localization of Marine Mammals - Bioacoustic Applicaitons

Autor: Dugan, Peter J., Clark, Christopher W., LeCun, Yann André, Van Parijs, Sofie M.

Goals of this research phase is to investigate advanced detection and classification pardims useful for data-mining passive large passive acoustic archives. Technical objectives are to develop and refine a High Performance Computing, Acoustic Data Ac

Externí odkaz: http://arxiv.org/abs/1605.00983

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Phase 2: DCL System Using Deep Learning Approaches for Land-based or Ship-based Real-Time Recognition and Localization of Marine Mammals - Machine Learning Detection Algorithms

Autor: Dugan, Peter J., Clark, Christopher W., LeCun, Yann André, Van Parijs, Sofie M.

Overarching goals for this work aim to advance the state of the art for detection, classification and localization (DCL) in the field of bioacoustics. This goal is primarily achieved by building a generic framework for detection-classification (DC) u

Externí odkaz: http://arxiv.org/abs/1605.00972

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Phase 1: DCL System Research Using Advanced Approaches for Land-based or Ship-based Real-Time Recognition and Localization of Marine Mammals - HPC System Implementation

Autor: Dugan, Peter J., Clark, Christopher W., LeCun, Yann André, Van Parijs, Sofie M.

We aim to investigate advancing the state of the art of detection, classification and localization (DCL) in the field of bioacoustics. The two primary goals are to develop transferable technologies for detection and classification in: (1) the area of

Externí odkaz: http://arxiv.org/abs/1605.00971

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