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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About Me
About Me
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Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Foreground signature extraction for an intimate mixing model in hyperspectral image classification
Published in IEEE International Conference on Acoustics, Speech and Signal Processing, 2020
This paper explores a framework for foreground material signature extraction from hyperspectral images based on a proposed patch model.
Recommended citation: J. Hollis, R. Raich, J. Kim, B. Fishbain and S. Kendler, "Foreground Signature Extraction for an Intimate Mixing Model in Hyperspectral Image Classification," ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020, pp. 4732-4736, doi: 10.1109/ICASSP40776.2020.9053456. https://ieeexplore.ieee.org/abstract/document/9053456
Adversarial learning via probabilistic proximity analysis
Published in IEEE International Conference on Acoustics, Speech and Signal Processing, 2021
This paper proposes the Lead-Class KNN classifier as a defense against high-cost adversarial attacks.
Recommended citation: J. Hollis, J. Kim and R. Raich, "Adversarial Learning via Probabilistic Proximity Analysis," ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, ON, Canada, 2021, pp. 3830-3834, doi: 10.1109/ICASSP39728.2021.9414096. https://ieeexplore.ieee.org/abstract/document/9414096/
Identifiable Solutions to Foreground Signature Extraction from Hyperspectral Images in an Intimate Mixing Scenario
Published in arXiv preprint, 2023
This paper extends our ICASSP 2020 conference paper, including formal identifiability analysis of the extraction problem and additional algorithms and experiments.
Recommended citation: J. Hollis, R. Raich, J. Kim, B. Fishbain and S. Kendler, "Identifiable Solutions to Foreground Signature Extraction from Hyperspectral Images in an Intimate Mixing Scenario," arXiv preprint, 2023, arXiv:2303.11479. https://arxiv.org/abs/2303.11479
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.