Joseph K. Chege

According to our database, Joseph K. Chege authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Unified MDL-Based Binning and Tensor Factorization Framework for PDF Estimation.

Mustafa Musab, Joseph K. Chege, Arie Yeredor, Martin Haardt

Proceedings of the 33rd European Signal Processing Conference, 2025

Probabilistic Position-Aided Beam Selection for mmWave MIMO Systems.

Joseph K. Chege, Arie Yeredor, Martin Haardt

Proceedings of the 33rd European Signal Processing Conference, 2025

Pollen Quantification Using Bayesian Probability Mass Function Estimation with Automatic Rank Detection.

Alla Manina, Joseph K. Chege, Thomas Hornick, Susanne Dunker, Arie Yeredor, Martin Haardt

Proceedings of the 59th Asilomar Conference on Signals, 2025

2024

Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass Function Tensors.

Joseph K. Chege, Arie Yeredor, Martin Haardt

CoRR, 2024

2023

Probability Mass Function Estimation Approaches with Application to Flow Cytometry Data Analysis.

Philippe Flores, Joseph K. Chege, Konstantin Usevich, Martin Haardt, Arie Yeredor, David Brie

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Bayesian Estimation of a Probability Mass Function Tensor with Automatic Rank Detection.

Joseph K. Chege, Mikus J. Grasis, Arie Yeredor, Martin Haardt

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022

Efficient Probability Mass Function Estimation from Partially Observed Data.

Joseph K. Chege, Mikus J. Grasis, Alla Manina, Arie Yeredor, Martin Haardt

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022