Now showing items 1-10 of 10

• #### Active and Transfer learning Methods for Computational Histology ﻿

(2012-12)
Tissue micro-environments of critical interest like tumors, stem-cell niches, and brain tissue surrounding implanted neuroprosthetic devices are complex in structure and harbor complex processes. Understanding events and ...
• #### DIRECTIONAL MULTISCALE ANALYSIS USING SHEARLET THEORY AND APPLICATIONS ﻿

(2012-08)
Shearlets emerged in recent years in applied harmonic analysis as a general framework to provide sparse representations of multidimensional data. This construction was motivated by the need to provide more efficient ...
• #### FRAMES AS CODES FOR STRUCTURED ERASURES ﻿

(2012-12)
This dissertation studies the role of frames as codes. Frames are families of vectors that give rise to embeddings of Hilbert spaces. These embeddings can be interpreted as codes, because possible linear dependencies among ...
• #### Gaussian Polynomial Filters and Generalized Shift-Invariant Frames ﻿

(December 2)
We present and study a family of filters on $L^2(\mathbb{R}^d)$ consisting of Gaussian polynomials. That is, multipliers in the frequency domain that are products of polynomials and Gaussians. These filters are constructed ...
• #### Image Analysis Using Directional Multiscale Representations and Applications for Characterization of Neuronal Morphology ﻿

(2015-12)
Recent advances in high-resolution fluorescence microscopy have enabled the system- atic study of morphological changes in large populations of cells induced by chemical and genetic perturbations, facilitating the discovery ...
• #### Information Fusion for Multi-Source Data Classification ﻿

(2015-12-17)
Multi-source data, either from different sensors or disparate features extracted from the same sensor, are often valuable for data analysis due to their potential for providing complementary information. Effective fusion ...
• #### Region-of-Interest Reconstruction from Truncated Cone-Beam CT ﻿

(2016-06-09)
This thesis presents a novel algorithm in 3D computed tomography (CT) dedicated to accurate region of interest (ROI) reconstruction from truncated cone-beam projections. Here data acquisition involves cone-beam x-ray sources ...
• #### SEARCHLIGHT CT: A NEW REGULARIZED RECONSTRUCTION METHOD FOR HIGHLY COLLIMATED X-RAY TOMOGRAPHY ﻿

(2012-05)
This thesis introduces a new method for image reconstruction in collimated Computed Tomography called Searchlight CT. The method significantly reduces the overall radiation exposure when primarily the reconstruction of a ...
• #### Spectral Angle-Based Feature Extraction and Sparse Representation-Based Classification of Hyperspectral Imagery ﻿

(2015-12-17)
Remote sensing involves measuring and analyzing objects of interests through data collected by a remote imaging modality without physical contact with the objects. Hyperspectral sensors have become increasingly popular for ...
• #### Superpixel Based Active Learning and Online Feature Importance Estimation for Hyperspectral Image Analysis ﻿

(December 2)
The rapid development of multi-channel optical imaging sensors has led to increased uti- lization of hyperspectral data for remote sensing. For classification of hyperspectral data, an informative training set is necessary ...