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04/12/2022
A DNN Framework for Learning Lagrangian Drift With Uncertainty
Reconstructions of Lagrangian drift, for example for objects lost at sea...
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06/13/2020
Interpretable Super-Resolution via a Learned Time-Series Representation
We develop an interpretable and learnable Wigner-Ville distribution that...
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11/06/2018
NIPS4Bplus: a richly annotated birdsong audio dataset
Recent advances in birdsong detection and classification have approached...
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07/16/2018
Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge
Assessing the presence and abundance of birds is important for monitorin...
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02/27/2018
Semi-Supervised Learning Enabled by Multiscale Deep Neural Network Inversion
Deep Neural Networks (DNNs) provide state-of-the-art solutions in severa...
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07/18/2017
Linear Time Complexity Deep Fourier Scattering Network and Extension to Nonlinear Invariants
In this paper we propose a scalable version of a state-of-the-art determ...
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09/11/2015
High Performance Computer Acoustic Data Accelerator: A New System for Exploring Marine Mammal Acoustics for Big Data Applications
This paper presents a new software model designed for distributed sonic ...
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01/14/2015
Dirichlet Process Parsimonious Mixtures for clustering
The parsimonious Gaussian mixture models, which exploit an eigenvalue de...
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12/25/2013
Mixture model-based functional discriminant analysis for curve classification
Statistical approaches for Functional Data Analysis concern the paradigm...
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12/25/2013
Model-based functional mixture discriminant analysis with hidden process regression for curve classification
In this paper, we study the modeling and the classification of functiona...
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06/13/2013
Physeter catodon localization by sparse coding
This paper presents a spermwhale' localization architecture using jointl...
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01/16/2013