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Robust Large Margin Deep Neural Networks

IEEE transactions on signal processing, 2017-08, Vol.65 (16), p.4265-4280

2017

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BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images

Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018, Vol.11071, p.228-236

2018

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Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification

IEEE transactions on signal processing, 2016-06, Vol.64 (12), p.3035-3050

2016

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On Deep Learning for Inverse Problems

2018 26th European Signal Processing Conference (EUSIPCO), 2018, p.1895-1899

2018

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Robustness and invariance in the generalization error of deep neural networks

Sokolić, Jure

2017

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Generalization error of deep neural networks: Role of classification margin and data structure

2017 International Conference on Sampling Theory and Applications (SampTA), 2017, p.147-151

2017

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Learning to Identify While Failing to Discriminate

2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2017, p.2537-2544

2017

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Mismatch in the classification of linear subspaces: Upper bound to the probability of error

2015 IEEE International Symposium on Information Theory (ISIT), 2015, p.2201-2205

2015

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Accurate, Very Low Computational Complexity Spike Sorting Using Unsupervised Matched Subspace Learning

IEEE transactions on biomedical circuits and systems, 2020-04, Vol.14 (2), p.221-231

2020

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A feature design framework for hardware efficient neural spike sorting

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, Vol.2015, p.1516-1519

2015

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TESTING OF JEROVEC SAND AND DEFINING ITS CRITICAL STATE LINE

E-GFOS, 2017-12, Vol.8 (15), p.50-58

2017

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Covariance Matrices
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Robust Large Margin Deep Neural Networks

BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images

Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification

On Deep Learning for Inverse Problems

Robustness and invariance in the generalization error of deep neural networks

Generalization error of deep neural networks: Role of classification margin and data structure

Learning to Identify While Failing to Discriminate

Mismatch in the classification of linear subspaces: Upper bound to the probability of error

Accurate, Very Low Computational Complexity Spike Sorting Using Unsupervised Matched Subspace Learning

A feature design framework for hardware efficient neural spike sorting

TESTING OF JEROVEC SAND AND DEFINING ITS CRITICAL STATE LINE

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