16 citations · 19 across the 5 of their papers we have counts for
7 papers
Wavelet Shrinkage and Thresholding based Robust Classification for Brain Computer Interface
Taposh Banerjee, John Choi, Bijan Pesaran +2
A macaque monkey is trained to perform two different kinds of tasks, memory aided and visually aided. In each task, the monkey saccades to eight possible target locations. A classi…
Classification of Local Field Potentials using Gaussian Sequence Model
Taposh Banerjee, John Choi, Bijan Pesaran +2
A problem of classification of local field potentials (LFPs), recorded from the prefrontal cortex of a macaque monkey, is considered. An adult macaque monkey is trained to perform…
Kiefer Wolfowitz Algorithm is Asymptotically Optimal for a Class of Non-Stationary Bandit Problems
Rahul Singh, Taposh Banerjee
We consider the problem of designing an allocation rule or an "online learning algorithm" for a class of bandit problems in which the set of control actions available at each time…
Quickest Hub Discovery in Correlation Graphs
Taposh Banerjee, Alfred O. Hero
A sequential test is proposed for detection and isolation of hubs in a correlation graph. Hubs in a correlation graph of a random vector are variables (nodes) that have a strong co…
Non-parametric Quickest Change Detection for Large Scale Random Matrices
Taposh Banerjee, Hamed Firouzi, Alfred O. Hero
The problem of quickest detection of a change in the distribution of a random matrix based on a sequence of observations having a single unknown change point is conside…
Data-Efficient Quickest Change Detection in Minimax Settings
Taposh Banerjee, Venugopal V. Veeravalli
The classical problem of quickest change detection is studied with an additional constraint on the cost of observations used in the detection process. The change point is modeled a…