Search Results for author:
Found 9 papers, 2 papers with code
A DNN Framework for Learning Lagrangian Drift With Uncertainty
Reconstructions of Lagrangian drift, for example for objects lost at sea, are often uncertain due to unresolved physical phenomena within the data.
The bioacoustic proof of the effects of raising awareness of noise pollution among visitors to the Port Cros National Park using binding communication
Assuming that the anthropogenic impact of visitors to a natural park can be reduced by communication actions, we have drawn up a bioacoustical protocol combined with a protocol to measure the effectiveness of the communication actions.
NIPS4Bplus: a richly annotated birdsong audio dataset
Recent advances in birdsong detection and classification have approached a limit due to the lack of fully annotated recordings.
Sound Digital Libraries Audio and Speech Processing
Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge
Assessing the presence and abundance of birds is important for monitoring specific species as well as overall ecosystem health.
Sound Audio and Speech Processing
Bird detection in audio: a survey and a challenge
Many biological monitoring projects rely on acoustic detection of birds.
Sound
Dirichlet Process Parsimonious Mixtures for clustering
The proposed DPPM models are Bayesian nonparametric parsimonious mixture models that allow to simultaneously infer the model parameters, the optimal number of mixture components and the optimal parsimonious mixture structure from the data.
Model-based functional mixture discriminant analysis with hidden process regression for curve classification
We propose a new model-based functional mixture discriminant analysis approach based on a specific hidden process regression model that governs the regime changes over time.
Mixture model-based functional discriminant analysis for curve classification
More specifically, we propose a new mixture model-based discriminant analysis approach for functional data using a specific hidden process regression model.
Physeter catodon localization by sparse coding
This paper presents a spermwhale' localization architecture using jointly a bag-of-features (BoF) approach and machine learning framework.
