6 citations · 8 across the 11 of their papers we have counts for
11 papers
Kaczmarz and Gauss-Seidel Algorithms with Volume Sampling
Alireza Entezari, Arunava Banerjee, Leila Kalantari
The method of Alternating Projections (AP) is a fundamental iterative technique with applications to problems in machine learning, optimization and signal processing. Examples incl…
Spike-Triggered Descent
Michael Kummer, Arunava Banerjee
The characterization of neural responses to sensory stimuli is a central problem in neuroscience. Spike-triggered average (STA), an influential technique, has been used to extract…
Signal Coding and Perfect Reconstruction using Spike Trains
Anik Chattopadhyay, Arunava Banerjee
In many animal sensory pathways, the transformation from external stimuli to spike trains is essentially deterministic. In this context, a new mathematical framework for coding and…
A Bayesian Approach for Analyzing Data on the Stiefel Manifold
Subhadip Pal, Subhajit Sengupta, Riten Mitra +1
Directional data emerges in a wide array of applications, ranging from atmospheric sciences to medical imaging. Modeling such data, however, poses unique challenges by virtue of th…
Multi-Scale Generalized Plane Match for Optical Flow
Inchul Choi, Arunava Banerjee
Despite recent advances, estimating optical flow remains a challenging problem in the presence of illumination change, large occlusions or fast movement. In this paper, we propose…
A Bayesian Mixture Model for Clustering on the Stiefel Manifold
Subhajit Sengupta, Subhadip Pal, Riten Mitra +3
Analysis of a Bayesian mixture model for the Matrix Langevin distribution on the Stiefel manifold is presented. The model exploits a particular parametrization of the Matrix Langev…