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2020 – today
- 2023
[c16]Zhiwei Yu
, Mingma Tendu Sherpa, Suzannah Iadarola, Kenneth Shamlian, Samantha G. Daley, Grace Levine, Peter Bajorski, Zhi Zheng:
Understanding Stress in Children with ASD and Their Caregivers in Daily Life: A Feasibility Study Using Mobile Devices. MobileHCI (Companion) 2023: 21:1-21:7- 2022
- [j11]Runchen Zhao, Emmett J. Ientilucci, Peter Bajorski:
A Statistical Temperature Emissivity Separation Algorithm for Hyperspectral System Modeling. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [c15]Peter Bajorski, Alan Kaminsky, Michael T. Kurdziel, Marcin Lukowiak, Stanislaw P. Radziszowski:
Statistical Analysis of the MK-3 Customizable Authenticated Encryption. MILCOM 2022: 974-979
2010 – 2019
- 2018
- [c14]Peter Bajorski, Alan Kaminsky, Michael T. Kurdziel, Marcin Lukowiak, Stanislaw P. Radziszowski:
Customization Modes for the Harris MK-3 Authenticated Encryption Algorithm. MILCOM 2018: 1-5 - [c13]Peter Bajorski, Alan Kaminsky, Michael T. Kurdziel, Marcin Lukowiak, Stanislaw P. Radziszowski:
Array-Based Statistical Analysis of the MK-3 Authenticated Encryption Scheme. MILCOM 2018: 1-9 - 2016
- [j10]Azar Rahimi, John L. Sapp, Jingjia Xu, Peter Bajorski, Milan Horacek, Linwei Wang:
Examining the Impact of Prior Models in Transmural Electrophysiological Imaging: A Hierarchical Multiple-Model Bayesian Approach. IEEE Trans. Medical Imaging 35(1): 229-243 (2016) - [i1]Nathan D. Cahill, Harmeet Singh, Chao Zhang, Daryl A. Corcoran, Alison M. Prengaman, Paul S. Wenger, John F. Hamilton, Peter Bajorski, Andrew M. Michael:
Multiple-View Spectral Clustering for Group-wise Functional Community Detection. CoRR abs/1611.06981 (2016) - 2014
- [c12]Peter Bajorski, Cezary Kazmierowski, Jerzy Cierniewski, Jan Piekarczyk, Krzysztof Kusnierek, Slawomir Królewicz, Henryk Terelak, Tomasz Stuczynski, Barbara Maliszewska-Kordybach:
Use of clustering with partial least squares regression for predictions based on hyperspectral data. WHISPERS 2014: 1-4 - 2012
- [j9]Peter Bajorski:
Non-Gaussian Linear Mixing Models for Hyperspectral Images. J. Electr. Comput. Eng. 2012: 818175:1-818175:8 (2012) - [j8]Peter Bajorski:
Practical Evaluation of Max-Type Detectors for Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(2): 462-469 (2012) - [j7]Peter Bajorski:
Target Detection Under Misspecified Models in Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(2): 470-477 (2012) - [j6]Peter Bajorski:
Generalized Detection Fusion for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 50(4): 1199-1205 (2012) - 2011
- [j5]Peter Bajorski:
Statistical Inference in PCA for Hyperspectral Images. IEEE J. Sel. Top. Signal Process. 5(3): 438-445 (2011) - [j4]Peter Bajorski:
Second Moment Linear Dimensionality as an Alternative to Virtual Dimensionality. IEEE Trans. Geosci. Remote. Sens. 49(2): 672-678 (2011) - [c11]Peter Bajorski:
Min-max detection fusion for hyperspectral images. WHISPERS 2011: 1-4 - [c10]Peter Bajorski:
Directional segmented matched filter for hyperspectral images. WHISPERS 2011: 1-4 - 2010
- [j3]Jonathan B. Phillips, Peter Bajorski, Peter D. Burns, Erin Fredericks, Mitchell R. Rosen:
Comparing image quality of print-on-demand books and photobooks from web-based vendors. J. Electronic Imaging 19(1): 011013 (2010) - [c9]Peter Bajorski:
Investigation of virtual dimensionality and Broken Stick Rule for hyperspectral images. WHISPERS 2010: 1-4 - [c8]Peter Bajorski, Niek J. Sanders:
A modified Pixel Purity Index method for hyperspectral images. WHISPERS 2010: 1-4 - [c7]Emmett J. Ientilucci, Peter Bajorski:
Hyperspectral target detection in a whitened space utilizing forward modeling concepts. WHISPERS 2010: 1-5
2000 – 2009
- 2009
- [c6]Peter Bajorski:
On the reliability of PCA for complex hyperspectral data. WHISPERS 2009: 1-5 - 2007
- [j2]Peter Bajorski:
Analytical Comparison of the Matched Filter and Orthogonal Subspace Projection Detectors for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 45(7-2): 2394-2402 (2007) - [c5]Peter Bajorski:
Nonnegative principal components for hyperspectral imaging. IGARSS 2007: 1771-1773 - 2005
- [c4]Peter Bajorski:
Impact of material abundances distributions on detection power in hyperspectral images. IGARSS 2005: 3215-3218 - [c3]Peter Bajorski:
Analytical treatment of detection power in simulated hyperspectral images. IGARSS 2005: 4291-4294 - 2004
- [c2]Peter Bajorski:
Simplex projection methods for selection of endmembers in hyperspectral imagery. IGARSS 2004: 3207-3210 - [c1]Peter Bajorski, Emmett J. Ientilucci:
Geometric basis-vector selection methods and subpixel target detection as applied to hyperspectral imagery. IGARSS 2004: 3211-3214 - 2000
- [j1]Peter Bajorski:
Statistics in Civil Engineering. Technometrics 42(2): 210-211 (2000)
Coauthor Index
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