Abdelhak M. Zoubir | DeepAI

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∙ 05/30/2023

Identifying the Complete Correlation Structure in Large-Scale High-Dimensional Data Sets with Local False Discovery Rates

The identification of the dependent components in multiple data sets is ...

0 Martin Gölz, et al. ∙

∙ 05/25/2023

Emergency Response Person Localization and Vital Sign Estimation Using a Semi-Autonomous Robot Mounted SFCW Radar

The large number and scale of natural and man-made disasters have led to...

0 Christian A. Schroth, et al. ∙

∙ 04/27/2023

Attacks on Robust Distributed Learning Schemes via Sensitivity Curve Maximization

Distributed learning paradigms, such as federated or decentralized learn...

0 Christian A. Schroth, et al. ∙

∙ 04/01/2022

Robust and Efficient Aggregation for Distributed Learning

Distributed learning paradigms, such as federated and decentralized lear...

1 Stefan Vlaski, et al. ∙

∙ 08/27/2021

Multiple Hypothesis Testing Framework for Spatial Signals

The problem of identifying regions of spatially interesting, different o...

0 Martin Gölz, et al. ∙

∙ 07/26/2021

Robust Regularized Locality Preserving Indexing for Fiedler Vector Estimation

The Fiedler vector of a connected graph is the eigenvector associated wi...

5 Aylin Tastan, et al. ∙

∙ 05/20/2021

Minimax Robust Detection: Classic Results and Recent Advances

This paper provides an overview of results and concepts in minimax robus...

0 Michael Fauß, et al. ∙

∙ 05/11/2021

Asymptotically Optimal Procedures for Sequential Joint Detection and Estimation

We investigate the problem of jointly testing multiple hypotheses and es...

0 Dominik Reinhard, et al. ∙

∙ 03/27/2020

Bayesian Sequential Joint Detection and Estimation under Multiple Hypotheses

We consider the problem of jointly testing multiple hypotheses and estim...

0 Dominik Reinhard, et al. ∙

∙ 03/01/2020

Distributed Joint Detection and Estimation: A Sequential Approach

We investigate the problem of jointly testing two hypotheses and estimat...

0 Dominik Reinhard, et al. ∙

∙ 02/20/2019

Tight Bounds on the Weighted Sum of MMSEs with Applications in Distributed Estimation

In this paper, tight upper and lower bounds are derived on the weighted ...

0 Michael Fauß, et al. ∙

∙ 12/20/2018

Decentralized Decision-Making Over Multi-Task Networks

In important applications involving multi-task networks with multiple ob...

0 Sahar Khawatmi, et al. ∙

∙ 11/29/2018

Robust Bayesian Cluster Enumeration

A major challenge in cluster analysis is that the number of data cluster...

14 Freweyni K. Teklehaymanot, et al. ∙

∙ 11/10/2018

Minimax Optimal Sequential Hypothesis Tests for Markov Processes

Under mild Markov assumptions, sufficient conditions for strict minimax ...

0 Michael Fauß, et al. ∙

∙ 07/09/2018

Bayesian Sequential Joint Detection and Estimation

Joint detection and estimation refers to deciding between two or more hy...

0 Dominik Reinhard, et al. ∙

∙ 04/26/2018

Tight MMSE Bounds for the AGN Channel Under KL Divergence Constraints on the Input Distribution

Tight bounds on the minimum mean square error for the additive Gaussian ...

0 Michael Fauß, et al. ∙

∙ 04/16/2018

On the Equivalence of f-Divergence Balls and Density Bands in Robust Detection

The paper deals with minimax optimal statistical tests for two composite...

0 Michael Fauß, et al. ∙

∙ 03/01/2018

Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling

Recent advances in the field of inverse reinforcement learning (IRL) hav...

0 Adrian Šošić, et al. ∙

∙ 02/01/2018

Robust Sequential Detection in Distributed Sensor Networks

We consider the problem of sequential binary hypothesis testing with a d...

0 Mark R. Leonard, et al. ∙

∙ 10/22/2017

A Novel Bayesian Cluster Enumeration Criterion for Unsupervised Learning

The Bayesian Information Criterion (BIC) has been widely used for estima...

0 Freweyni K. Teklehaymanot, et al. ∙

∙ 02/26/2017

Bayesian Nonparametric Unmixing of Hyperspectral Images

Hyperspectral imaging is an important tool in remote sensing, allowing f...

0 Jürgen Hahn, et al. ∙

∙ 02/26/2017

Bayesian Nonparametric Feature and Policy Learning for Decision-Making

Learning from demonstrations has gained increasing interest in the recen...

0 Jürgen Hahn, et al. ∙

∙ 10/28/2016

Decentralized Clustering and Linking by Networked Agents

We consider the problem of decentralized clustering and estimation over ...

0 Sahar Khawatmi, et al. ∙

∙ 10/21/2016

Dictionary Learning Strategies for Compressed Fiber Sensing Using a Probabilistic Sparse Model

We present a sparse estimation and dictionary learning framework for com...

0 Christian Weiss, et al. ∙

∙ 05/04/2016

A Bayesian Approach to Policy Recognition and State Representation Learning

Learning from demonstration (LfD) is the process of building behavioral ...

0 Adrian Šošić, et al. ∙

∙ 02/17/2016

Inverse Reinforcement Learning in Swarm Systems

Inverse reinforcement learning (IRL) has become a useful tool for learni...

0 Adrian Šošić, et al. ∙

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