Tanuj Hasija

According to our database, Tanuj Hasija authored at least 13 papers between 2016 and 2023.

Collaborative distances:

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

2023

Developing a deep canonical correlation-based technique for seizure prediction.

Solveig Vieluf, Tanuj Hasija, Maurice Kuschel, Claus Reinsberger, Tobias Loddenkemper

Expert Syst. Appl., December, 2023

Geodesic-Based Relaxation For Deep Canonical Correlation Analysis.

Maurice Kuschel, Timothy Marrinan, Tanuj Hasija

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

2022

Multi-Task fMRI Data Fusion Using IVA and PARAFAC2.

Isabell Lehmann, Evrim Acar, Tanuj Hasija, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Peter J. Schreier, Tülay Adali

Proceedings of the IEEE International Conference on Acoustics, 2022

A GLRT for estimating the number of correlated components in sample-poor mCCA.

Tanuj Hasija, Timothy Marrinan

Proceedings of the 30th European Signal Processing Conference, 2022

2020

Determining the dimension and structure of the subspace correlated across multiple data sets.

Tanuj Hasija, Timothy Marrinan, Christian Lameiro, Peter J. Schreier

Signal Process., 2020

2019

Estimating the Number of Correlated Components Based on Random Projections.

Christian Lameiro, Tanuj Hasija, Tim Marrinan, Peter J. Schreier

Proceedings of the IEEE International Conference on Acoustics, 2019

Source Enumeration and Robust Voice Activity Detection in Wireless Acoustic Sensor Networks.

Tanuj Hasija, Martin Gölz, Michael Muma, Peter J. Schreier, Abdelhak M. Zoubir

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Complete Model Selection in Multiset Canonical Correlation Analysis.

Tim Marrinan, Tanuj Hasija, Christian Lameiro, Peter J. Schreier

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Determining the Dimension of the Improper Signal Subspace in Complex-Valued Data.

Tanuj Hasija, Christian Lameiro, Peter J. Schreier

IEEE Signal Process. Lett., 2017

2016

Canonical correlation analysis of high-dimensional data with very small sample support.

Yang Song, Peter J. Schreier, David Ramírez, Tanuj Hasija

Signal Process., 2016

Detecting the dimension of the subspace correlated across multiple data sets in the sample poor regime.

Tanuj Hasija, Yang Song, Peter J. Schreier, David Ramírez

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Determining the number of signals correlated across multiple data sets for small sample support.

Yang Song, Tanuj Hasija, Peter J. Schreier, David Ramírez

Proceedings of the 24th European Signal Processing Conference, 2016

Bootstrap-based detection of the number of signals correlated across multiple data sets.

Tanuj Hasija, Yang Song, Peter J. Schreier, David Ramírez

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016