activity
20142023
most citedSparse Bayesian Learning for EEG Source Localization

3 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV20232 cited

Understanding the Effects of Projectors in Knowledge Distillation

Yudong Chen, Sen Wang, Jiajun Liu +4

Conventionally, during the knowledge distillation process (e.g. feature distillation), an additional projector is often required to perform feature transformation due to the dimens…

cs.SI2019

Generating dynamic contact graphs with indirect links

Md Shahzamal, Raja Jurdak, Bernard Mans +2

Graph models are widely used to study diffusion processes in contact networks. Recent data-driven research has highlighted the significance of indirect links, where interactions ar…

physics.med-ph20151 cited

Evaluating the Performance of BSBL Methodology for EEG Source Localization On a Realistic Head Model

Sajib Saha, Rajib Rana, Ya. I. Nesterets +3

Source localization in EEG represents a high dimensional inverse problem, which is severely ill-posed by nature. Fortunately, sparsity constraints have come into rescue as it helps…

q-bio.QM20153 cited

Sparse Bayesian Learning for EEG Source Localization

Sajib Saha, Frank de Hoog, Ya. I. Nesterets +3

Purpose: Localizing the sources of electrical activity from electroencephalographic (EEG) data has gained considerable attention over the last few years. In this paper, we propose…

q-bio.QM20141 cited

EEG source localization using a sparsity prior based on Brodmann areas

S. Saha, Ya. I. Nesterets, Rajib Rana +3

Localizing the sources of electrical activity in the brain from Electroencephalographic (EEG) data is an important tool for non-invasive study of brain dynamics. Generally, the sou…

cs.IT20142 cited

New Coherence and RIP Analysis for Weak Orthogonal Matching Pursuit

Mingrui Yang, Frank de Hoog

In this paper we define a new coherence index, named the global 2-coherence, of a given dictionary and study its relationship with the traditional mutual coherence and the restrict…