Saptarshi Chakraborty

IEEE Trans. Neural Networks Learn. Syst., November, 2024

A Statistical Analysis of Deep Federated Learning for Intrinsically Low-dimensional Data.

[BibT_eX]

[DOI]

Peter L. Bartlett

CoRR, 2024

Neural-g: A Deep Learning Framework for Mixing Density Estimation.

[BibT_eX]

[DOI]

Shijie Wang

Qian Qin

Ray Bai

CoRR, 2024

On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension.

[BibT_eX]

[DOI]

Peter L. Bartlett

CoRR, 2024

t-Divergence: A New Divergence Measure with Application to Robust Statistics & Clustering.

[BibT_eX]

[DOI]

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data.

[BibT_eX]

[DOI]

Peter L. Bartlett

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Implicit Annealing in Kernel Spaces: A Strongly Consistent Clustering Approach.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Likelihood Ratio Test-Based Drug Safety Assessment using R Package \pkg{pvLRT}.

[BibT_eX]

[DOI]

Marianthi Markatou

Robert Ball

R J., March, 2023

On Consistent Entropy-Regularized k-Means Clustering With Feature Weight Learning: Algorithm and Statistical Analyses.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2023

Biconvex Clustering.

[BibT_eX]

[DOI]

J. Comput. Graph. Stat., 2023

Clustering High-dimensional Data with Ordered Weighted ℓ<sub>1</sub> Regularization.

[BibT_eX]

[DOI]

Chandramauli Chakraborty

Sayan Paul

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

A novel bifold-stage shot boundary detection algorithm: invariant to motion and illumination.

[BibT_eX]

[DOI]

Alok Singh

Vis. Comput., 2022

Detecting Meaningful Clusters From High-Dimensional Data: A Strongly Consistent Sparse Center-Based Clustering Approach.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Robust Linear Predictions: Analyses of Uniform Concentration, Fast Rates and Model Misspecification.

[BibT_eX]

[DOI]

CoRR, 2022

Bregman Power k-Means for Clustering Exponential Family Data.

[BibT_eX]

[DOI]

Adithya Vellal

Proceedings of the International Conference on Machine Learning, 2022

2021

A Shot boundary Detection Technique based on Visual Colour Information.

[BibT_eX]

[DOI]

Nidul Sinha

Multim. Tools Appl., 2021

SBD-Duo: a dual stage shot boundary detection technique robust to motion and illumination effect.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2021

BAMBI: An R Package for Fitting Bivariate Angular Mixture Models.

[BibT_eX]

[DOI]

Samuel W. K. Wong

J. Stat. Softw., 2021

Uniform Concentration Bounds toward a Unified Framework for Robust Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

$t$-Entropy: A New Measure of Uncertainty with Some Applications.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A novel automatic shot boundary detection algorithm: robust to illumination and motion effect.

[BibT_eX]

[DOI]

Alok Singh

Signal Image Video Process., 2020

Kernel k-Means, By All Means: Algorithms and Strong Consistency.

[BibT_eX]

[DOI]

CoRR, 2020

Entropy Regularized Power k-Means Clustering.

[BibT_eX]

[DOI]

CoRR, 2020

Entropy Weighted Power k-Means Clustering.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

A Strongly Consistent Sparse k-means Clustering with Direct l<sup>1</sup> Penalization on Variable Weights.

[BibT_eX]

[DOI]

CoRR, 2019

A novel shot boundary detection system using hybrid optimization technique.

[BibT_eX]

[DOI]

Appl. Intell., 2019

On the non-convergence of differential evolution: some generalized adversarial conditions and a remedy.

[BibT_eX]

[DOI]

Ivan Zelinka

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2017

k-Means clustering with a new divergence-based distance metric: Convergence and performance analysis.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2017

2016

Alpha-anonymization techniques for privacy preservation in social networks.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2016

Privacy preservation in relational data through l-diversity and recursive (c, l) diversity anonymisation.

[BibT_eX]

[DOI]

Int. J. Math. Model. Numer. Optimisation, 2016

Privacy preserving anonymization of social networks using eigenvector centrality approach.

[BibT_eX]

[DOI]

Intell. Data Anal., 2016

2015

Analysis and Performance Enhancement to Achieve Recursive (c, l) Diversity Anonymization in Social Networks.

[BibT_eX]

[DOI]

John George Ambooken

Swarnalatha Purushotham

Trans. Data Priv., 2015

Privacy Preservation in Social networks through alpha: anonymization techniques.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014

An Overview of Face Liveness Detection.

[BibT_eX]

[DOI]