Karim T. Abou-Moustafa

Orcid: 0000-0003-4486-3804

Affiliations:
  • University of Alberta, Department of Computing Science, Edmonton, AB, Canada
  • Carnegie Mellon University, Robotics Institute, Pittsburgh, PA, USA (former)
  • McGill University, Artificial Perception Laboratory Centre for Intelligent Machines, Montreal, QC, Canada (former)
  • Concordia University, Department of Computer Science, Montreal, QC, Canada (former)


According to our database1, Karim T. Abou-Moustafa authored at least 22 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Shrinkage Coefficient Estimation for Regularized Tyler's M-Estimator: A Leave One Out Approach.
Proceedings of the IEEE Information Theory Workshop, 2023

2019
An Exponential Efron-Stein Inequality for Lq Stable Learning Rules.
CoRR, 2019

An Exponential Efron-Stein Inequality for <i>L<sub>q</sub></i> Stable Learning Rules.
Proceedings of the Algorithmic Learning Theory, 2019

An Exponential Tail Bound for the Deleted Estimate.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Local generalized quadratic distance metrics: application to the k-nearest neighbors classifier.
Adv. Data Anal. Classif., 2018

An Exponential Tail Bound for Lq Stable Learning Rules. Application to k-Folds Cross-Validation.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2018

2017
An a Priori Exponential Tail Bound for k-Folds Cross-Validation.
CoRR, 2017

2015
Pareto models for discriminative multiclass linear dimensionality reduction.
Pattern Recognit., 2015

Generalization in Unsupervised Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2013
Divergence based graph estimation for manifold learning.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning.
Proceedings of the Asian Conference on Machine Learning, 2013

2012
A Note on Metric Properties for Some Divergence Measures: The Gaussian Case.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

Modified Divergences for Gaussian Densities.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

2011
Relaxed Exponential Kernels for Unsupervised Learning.
Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

2010
Pareto discriminant analysis.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2008
Local Metric Learning on Manifolds with Application to Query-Based Operations.
Proceedings of the Structural, 2008

Fast and regularized local metric for query-based operations.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Regularized Minimum Volume Ellipsoid Metric for Query-Based Learning.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007
The Minimum Volume Ellipsoid Metric.
Proceedings of the Pattern Recognition, 2007

2004
On the structure of hidden Markov models.
Pattern Recognit. Lett., 2004

Classification of time-series data using a generative/discriminative hybrid.
Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition, 2004

A generative-discriminative hybrid for sequential data classification [image classification example].
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004


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