Colin C. Olson

发表

A Novel Detection Paradigm and Its Comparison to Statistical and Kernel-Based Anomaly Detection Algorithms for Hyperspectral Imagery

Colin C. Olson, Timothy Doster, C. Olson, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Encoding Optical Architectures via Gene Expression Programming

Colin C. Olson, 2018 .

Calculation of Entropy for a Sinusoid with Beta-Distributed Phase

Jonathan M. Nichols, Colin C. Olson, Frank Bucholtz, 2009, Entropy.

Sensitivity and computational comparison of state-space methods for structural health monitoring

Michael D. Todd, Colin C. Olson, L. A. Overbey, 2005, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Path Orthogonal Matching Pursuit for Sparse Reconstruction and Denoising of SWIR Maritime Imagery

Tegan Emerson, Colin C. Olson, Timothy Doster, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

A method for testing driven dynamical systems with evolved excitations and its application to phase-locked loops

Jonathan M. Nichols, Colin C. Olson, J. V. Michalowicz, 2009, 2009 IEEE Congress on Evolutionary Computation.

Selecting an Optimized COTS Filter Set for Multispectral Plenoptic Sensing

Erin Fleet, Colin C. Olson, Timothy Doster, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Exploring damage sensitivity of state-space based prediction error methods for structural health monitoring

Michael D. Todd, Colin C. Olson, L. A. Overbey, 2005, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Evolutionary algorithms, chaotic excitations, and structural health monitoring: On global search methods for improved damage detection via tailored inputs

Colin C. Olson, C. Olson, 2008 .

An experimental demonstration of tailored excitations for improved damage detection in the presence of operational variability

Michael D. Todd, Colin C. Olson, L. A. Overbey, 2009 .

Automated detection of watercraft in short-wave infrared imagery

Jonathan M. Nichols, Colin C. Olson, K. P. Judd, 2013 .

Path-Based Background Model Augmentation for Hyperspectral Anomaly Detection

Colin C. Olson, Timothy Doster, Tegan H. Emerson, 2018, 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Improving Excitations for Active Sensing in Structural Health Monitoring via Evolutionary Algorithms

Charles R. Farrar, Michael D. Todd, Keith Worden, 2007 .

Tailored deterministic and stochastic excitations for structural health monitoring via evolutionary algorithms

Michael D. Todd, Colin C. Olson, M. Todd, 2007, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Automated design of optical architectures using novel encoding methods and a multi-objective optimization framework

Colin C. Olson, 2019, Optical Engineering + Applications.

Coupling Evolutionary Algorithms With Nonlinear Dynamical Systems: An Efficient Tool for Excitation Design and Optimization

Jonathan M. Nichols, Colin C. Olson, Frank Bucholtz, 2011, IEEE Transactions on Evolutionary Computation.

Unsupervised Ensemble-Kernel Principal Component Analysis for Hyperspectral Anomaly Detection

Colin C. Olson, Nicholas Merrill, C. Olson, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Tailored excitations for structural health monitoring via evolutionary programming

Michael D. Todd, Colin C. Olson, M. Todd, 2006, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Optimized guided wave excitations for health monitoring of a bolted joint

Michael D. Todd, Colin C. Olson, Timothy R. Fasel, 2008, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Path Orthogonal Matching Pursuit for k-Sparse Image Reconstruction

Colin C. Olson, Timothy Doster, Tegan H. Emerson, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Manifold learning techniques for unsupervised anomaly detection

Jonathan M. Nichols, Colin C. Olson, K. P. Judd, 2018, Expert Syst. Appl..

The Bispectrum and Bicoherence for Quadratically Nonlinear Systems Subject to Non-Gaussian Inputs

Jonathan M. Nichols, Colin C. Olson, Frank Bucholtz, 2009, IEEE Transactions on Signal Processing.

Generative And Encoded Anomaly Detectors

Colin C. Olson, Timothy Doster, Tegan H. Emerson, 2019, 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS).

A Topological Approach for Motion Track Discrimination pdf

Colin C. Olson, Sarah Tymochko, George Stantchev, 2021, ArXiv.

The Effect of Detection Feature Type on Excitations Bred for Active Sensing in Structural Health Monitoring

Michael D. Todd, Colin C. Olson, L. A. Overbey, 2009 .

On the convergence of multiple excitation sources to a two‐tone excitation class: Implications for a global optimum excitation in active sensing for structural health monitoring

Colin C. Olson, M. Todd, C. Olson, 2010 .

A parametric investigation of state-space-based prediction error methods with stochastic excitation for structural health monitoring

Michael D. Todd, Colin C. Olson, L. A. Overbey, 2007 .

Detecting generalized dynamic inter-relationship in a frame experiment with measures of information flow and interdependence

Michael D. Todd, Jonathan M. Nichols, Colin C. Olson, 2005, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.