Mark Andrews

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 5

Top Topics

Polygonal Approximation

Total Variation Regularization

Top Venues

IEEE Trans. Image Process.

Publications

Mark Andrews, Shumon Huque, Paul Wouters, Duane Wessels
DNS Glue Requirements in Referral Responses. RFC 9471 (2023)
Ondrej Sury, Willem Toorop, Donald E. Eastlake III, Mark Andrews
Interoperable Domain Name System (DNS) Server Cookies. RFC 9018 (2021)
Peter G. Martin, Yannick Verbelen, Elia Sciama Bandel, Mark Andrews, Thomas B. Scott
Project Gatekeeper: An Entrance Control System Embedded Radiation Detection Capability for Security Applications. Sensors 20 (10) (2020)
Russell Turk, Gary Jones, Duncan Guest, Angela Young, Mark Andrews
Deconstructing transitional probabilities: Bigram frequency and diversity in lexical decision. CogSci (2017)
Mark Andrews
A Bayesian Model of Memory for Text. CogSci (2017)
Mark Andrews, Ramakrishna Kakarala
Shape simplification through polygonal approximation in the Fourier domain. Intelligent Robots and Computer Vision: Algorithms and Techniques (2015)
Duncan T. Eason, Mark Andrews
Total Variation Regularization via Continuation to Recover Compressed Hyperspectral Images. IEEE Trans. Image Process. 24 (1) (2015)
Duncan T. Eason, Mark Andrews
Compressed hyperspectral image recovery via total variation regularization assuming linear mixing. ICIP (2014)
Kevin I-Kai Wang, Mark Andrews, Zoran Salcic, Alice Bates, Travis Scott, Jin Akagi, Donald Wlodkowic
Unsupervised image analysis for zebrafish embryogenesis using lab-on-a-chip embryo arrays. Int. J. Comput. Appl. Technol. 50 (1/2) (2014)
Mark Andrews, Stefan L. Frank, Gabriella Vigliocco
Reconciling Embodied and Distributional Accounts of Meaning in Language. Top. Cogn. Sci. 6 (3) (2014)
William Y. L. Lee, Mark Andrews
Blind spectral unmixing for compressive hyperspectral imaging of highly mixed data. ICIP (2014)
Mark Andrews
Probabilistic Language Modeling with Hidden Stochastic Automata. CogSci (2013)
Shaun Dowler, Reymond Takashima, Mark Andrews
Reducing the Complexity of the N-FINDR Algorithm for Hyperspectral Image Analysis. IEEE Trans. Image Process. 22 (7) (2013)
Mark Andrews, Jesse Diaz
And Now for Something Completely Different: Python in Cognitive Science. CogSci (2012)
Shaun Dowler, Mark Andrews
On the Convergence of N-FINDR and Related Algorithms: To Iterate or Not to Iterate? IEEE Geosci. Remote. Sens. Lett. 8 (1) (2011)
Mark Andrews, Gabriella Vigliocco
The Hidden Markov Topic Model: A Probabilistic Model of Semantic Representation. Top. Cogn. Sci. 2 (1) (2010)
Shaun Dowler, Mark Andrews
Abundance guided endmember selection: An algorithm for unmixing hyperspectral data. ICIP (2010)
Mark Andrews
Changing markets, changing relationships: How libraries and vendors respond to the "next generation" challenge. Libr. Hi Tech 25 (4) (2007)