Mark Andrews

According to our database, Mark Andrews authored at least 19 papers between 1997 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

DNS Glue Requirements in Referral Responses.

Mark Andrews, Shumon Huque, Paul Wouters, Duane Wessels

RFC, September, 2023

2021

Interoperable Domain Name System (DNS) Server Cookies.

Ondrej Sury, Willem Toorop, Donald E. Eastlake III, Mark Andrews

RFC, April, 2021

2020

Project Gatekeeper: An Entrance Control System Embedded Radiation Detection Capability for Security Applications.

Peter G. Martin, Yannick Verbelen, Elia Sciama Bandel, Mark Andrews, Thomas B. Scott

Sensors, 2020

2017

Deconstructing transitional probabilities: Bigram frequency and diversity in lexical decision.

Russell Turk, Gary Jones, Duncan Guest, Angela Young, Mark Andrews

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

A Bayesian Model of Memory for Text.

Mark Andrews

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2015

Total Variation Regularization via Continuation to Recover Compressed Hyperspectral Images.

Duncan T. Eason, Mark Andrews

IEEE Trans. Image Process., 2015

Shape simplification through polygonal approximation in the Fourier domain.

Mark Andrews, Ramakrishna Kakarala

Proceedings of the Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques, 2015

2014

Reconciling Embodied and Distributional Accounts of Meaning in Language.

Mark Andrews, Stefan L. Frank, Gabriella Vigliocco

Top. Cogn. Sci., 2014

Unsupervised image analysis for zebrafish embryogenesis using lab-on-a-chip embryo arrays.

Kevin I-Kai Wang, Mark Andrews, Zoran Salcic, Alice Bates, Travis Scott, Jin Akagi, Donald Wlodkowic

Int. J. Comput. Appl. Technol., 2014

Blind spectral unmixing for compressive hyperspectral imaging of highly mixed data.

William Y. L. Lee, Mark Andrews

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Compressed hyperspectral image recovery via total variation regularization assuming linear mixing.

Duncan T. Eason, Mark Andrews

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Reducing the Complexity of the N-FINDR Algorithm for Hyperspectral Image Analysis.

Shaun Dowler, Reymond Takashima, Mark Andrews

IEEE Trans. Image Process., 2013

Probabilistic Language Modeling with Hidden Stochastic Automata.

Mark Andrews

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012

And Now for Something Completely Different: Python in Cognitive Science.

Mark Andrews, Jesse Diaz

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011

On the Convergence of N-FINDR and Related Algorithms: To Iterate or Not to Iterate?

Shaun Dowler, Mark Andrews

IEEE Geosci. Remote. Sens. Lett., 2011

2010

The Hidden Markov Topic Model: A Probabilistic Model of Semantic Representation.

Mark Andrews, Gabriella Vigliocco

Top. Cogn. Sci., 2010

Abundance guided endmember selection: An algorithm for unmixing hyperspectral data.

Shaun Dowler, Mark Andrews

Proceedings of the International Conference on Image Processing, 2010

2007

Changing markets, changing relationships: How libraries and vendors respond to the "next generation" challenge.

Mark Andrews

Libr. Hi Tech, 2007

1997

Interative Blind Deconvolution of Extended Objects.

David S. C. Biggs, Mark Andrews

Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997