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07/06/2020
Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis
Recently, there has been growing interest in the analysis of spectrogram...
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09/05/2019
Fusing Vector Space Models for Domain-Specific Applications
We address the problem of tuning word embeddings for specific use cases ...
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08/09/2019
Multivariate Convolutional Sparse Coding with Low Rank Tensor
This paper introduces a new multivariate convolutional sparse coding bas...
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11/14/2016
Post Training in Deep Learning with Last Kernel
One of the main challenges of deep learning methods is the choice of an ...
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02/08/2016
Decoy Bandits Dueling on a Poset
We adress the problem of dueling bandits defined on partially ordered se...
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10/28/2015
Operator-valued Kernels for Learning from Functional Response Data
In this paper we consider the problems of supervised classification and ...
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10/09/2013
M-Power Regularized Least Squares Regression
Regularization is used to find a solution that both fits the data and is...
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06/17/2013