Site-wide links

Scholarly Works

Peter Bajorski
Professor

2014 Submissions

Journal Paper

Bajorski, Peter, et al. "Effect of pH and Oxygen on Biofilm Formation in Acute Otitis Media Associated NTHi Clinical Isolates." The Laryngoscope. (2014): NA. Print. *

Bajorski, Peter, et al. "Stochastic Analysis and Modeling of a Tree-Based Group Key Distribution Method in Tactical Wireless Networks." Journal of Telecommunications System & Management. (2014): 1-8. Web. *

Published Conference Proceedings

Bajorski, Peter, et al. "Use of Clustering with Partial Least Squares Regression for Predictions Based on Hyperspectral Data." Proceedings of the Hyperspectral Image and Signal Processing: Evolution in Remote Sensing. Ed. Jocelyn Chanussot. Hoboken, NJ: n.p., 2014. Print. £

Invited Paper

Bajorski, Peter. "General Remarks on Applied Mathematics and Statistics." Mathematica Applicanda. (2014). Print. ∆

2013 Submissions

Journal Paper

Bajorski, P., P. Hall, and H. Rubinstein. "Methodology and Theory for Nonnegative-Score Principal Component Analysis." Statistica Sinica 23. 2 (2013): 963-988. Print. * £

Shows/Exhibits/Installations

Bajorski, P. Target Detection in Constrained Models in Hyperspectral Images. 5 Jun. 2013. Workshop on Compositional Data Analysis, Vorau, Austria. Exhibit.

2012 Submissions

Journal Paper

Bajorski, Peter. "Generalized Detection Fusion for Hyperspectral Images"." IEEE Transactions on Geoscience and Remote Sensing 50. 4 (2012): 1199 -1205. Print. *

Bajorski, Peter. "Target Detection Under Misspecified Models in Hyperspectral Images." Journal of Selected Topics in Applied Earth Observations and Remote Sensing 5. 2 (2012): 470-477. Print. *

Bajorski, Peter. "Practical Evaluation of Max-Type Detectors for Hyperspectral Images." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 5. 2 (2012): 462-469. Print. *

Bajorski, Peter. "Non-Gaussian Linear Mixing Models for Hyperspectral Images." Journal of Electrical and Computer Engineering 2012. Article ID 818175 (2012): 8 pages-. Print. *

Bajorski, P. "Non-Gaussian Linear Mixing Models for Hyperspectral Images." Journal of Electrical and Computer Engineering 2012. (2012): 1-8. Print. £

Bajorski, P. "Practical Evaluation of Max-Type Detectors for Hyperspectral Images." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 5. 2 (2012): 462-469. Print. £

Bajorski, P. "Generalized Detection Fusion for Hyperspectral Images." IEEE Transactions on Geoscience and Remote Sensing 50. 4 (2012): 1199 - 1205. Print. £

Bajorski, P. "Target Detection Under Misspecified Models in Hyperspectral Images." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 5. 2 (2012): 470-477. Print. £

2011 Submissions

Full Length Book

Bajorski, Peter. Statistics for Imaging, Optics, and Photonics. Rochester, NY: Wiley, 2011. Print. *

Bajorski, Peter. Statistics for Imaging, Optics, and Photonics. 1st ed. Hoboken, NJ: Wiley, 2011. Print. *

Journal Paper

Bajorski, Peter. "Generalized Detection Fusion for Hyperspectral Images." IEEE Transactions on Geoscience and Remote Sensing PP. 99 (2011): 1-7. Print. *

Bajorski, Peter. "Statistical Inference in PCA for Hyperspectral Images." IEEE Journal of Selected Topics in Signal Processing 5. 3 (2011): 438-445. Print. *

Bajorski, Peter. "Second Moment Linear Dimensionality as an Alternative to Virtual Dimensionality." IEEE Transactions on Geoscience and Remote Sensing 49. 2 (2011): 672-678. Print. *

Bajorski, Peter. "Second Moment Linear Dimensionality as an Alternative to Virtual Dimensionality." IEEE Transactions on Geoscience and Remote Sensing 49. 2 (2011): 672-678. Print. *

Bajorski, Peter. "Statistical Inference in PCA for Hyperspectral Images, IEEE Journal of Selected Topics in Signal Processing,." IEEE Signal Processing 5. 3 (2011): 438-445. Print. *

Bajorski, Peter. "Generalized Detection Fusion for Hyperspectral Images"." IEEE Transactions on Geoscience and Remote Sensing PP. Issue: 99 (2011): 1-7. Print. *

Published Conference Proceedings

Bajorski, Peter. "Directional Segmented Matched Filter for Hyperspectral Images." Proceedings of the Hyperspectral Image and Signal Processing: Evolution in Remote Sensing. Ed. A. Plaza. Lisbon: n.p., 2011. Web. *

Bajorski, Peter. "Min-max Detection Fusion for Hyperspectral Images." Proceedings of the Hyperspectral Image and Signal Processing: Evolution in Remote Sensing. Ed. A. Plaza. Lisbon: n.p., 2011. Web. *

Invited Presentations/Keynotes

Bajorski, Peter. "Generalized Fusion: A New Framework for Hyperspectral Detection." Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVII. SPIE. Orlando, Orlando, FL. 25 Apr. 2011. Keynote Speech. ∆

2010 Submissions

Published Article

Ientilucci, E., and P. Bajorski. “Hyperspectral target detection in a whitened space utilizing forward modeling concepts.” IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 14-16 June 2010. n.p. Print. *

P. Bajorski. “Investigation of Virtual Dimensionality and Broken Stick Rule for Hyperspectral Images.” IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 14-16 June 2010. n.p. Print. *

Bajorski, P., and N. Sanders, “A Modified Pixel Purity Index Method for Hyperspectral Images.” IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 14-16 June 2010. n.p. Print. *

Phillips, J., P. Bajorski, P. Burns, E. Fredericks, and M. Rosen. “Comparing image quality of print-on-demand books and photobooks from web-based vendors.” Journal of Electronic Imaging, 19.1 (2010): 011013-7. Web. *

P. Bajorski, “Second Moment Linear Dimensionality as an Alternative to Virtual Dimensionality,” IEEE Transactions on Geoscience and Remote Sensing, 48.10 (2010): 1–7. Print. *

Ientilucci, E.J., and P. Bajorski, “Hyperspectral target detection in a whitened space utilizing forward modeling concepts.” Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 1.2 (2010): n.p. Print. £

Kinsman, T.B., P. Bajorski, and J.B. Pelz. “Hierarchical Image Clustering for Analyzing Eye Tracking Videos.” Western New York Image Processing Workshop, 2010. n.p. Print. †