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Classification of High Frequency Pupillary Responses using Schur Monotone Descriptors in Multiscale Domains
(Georgia Institute of Technology, 2004-09-21)
This paper addresses the problem of classifying users with different visual abilities based on their pupillary response data while performing computer-based tasks. Multiscale Schur Monotone (MSM) summaries of high frequency ...
Denoising Ozone Concentration Measurements with BAMS Filtering
(Georgia Institute of Technology, 2001)
We propose a method for filtering self-similar geophysical signals corrupted by an antoregressive noise using a combination of non-decimated wavelet transform and a Bayesian model. In the application part, we consider ...
Bayesian Spherical Wavelet Shrinkage: Applications to Shape Analysis
(Georgia Institute of Technology, 2007)
Multiscale analysis has become a very useful tool in image processing and computer vision. Our work is motivated by the need to efficiently represent 3D shapes that exhibit a spherical topology. This note presents a wavelet ...