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06/23/2021
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound
We investigate a stochastic counterpart of majority votes over finite en...
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05/13/2020
Mean Oriented Riesz Features for Micro Expression Classification
Micro-expressions are brief and subtle facial expressions that go on and...
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09/02/2019
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data
In this paper, we address the challenging problem of learning from imbal...
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06/03/2019
Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization
Times series classification can be successfully tackled by jointly learn...
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01/30/2019
End-to-end Learning for Early Classification of Time Series
Classification of time series is a topical issue in machine learning. Wh...
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09/03/2018
IoU is not submodular
This short article aims at demonstrate that the Intersection over Union ...
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07/25/2017
Residual Conv-Deconv Grid Network for Semantic Segmentation
This paper presents GridNet, a new Convolutional Neural Network (CNN) ar...
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06/07/2017
Improving Max-Sum through Decimation to Solve Loopy Distributed Constraint Optimization Problems
In the context of solving large distributed constraint optimization prob...
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03/01/2017