David Slater

发表

Subpixel detection of surface mines in hyperspectral images

Glenn Healey, David Slater, 2004, SPIE Defense + Commercial Sensing.

Using a spectral reflectance model for the illumination-invariant recognition of local image structure

Glenn Healey, David Slater, 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Critical Infrastructure network analysis enabled by simulation metamodeling

Garry M. Jacyna, Scott L. Rosen, David Slater, 2015, 2015 Winter Simulation Conference (WSC).

A machine vision system for the automated classification and counting of neurons in 3-D brain tissue samples

Glenn Healey, William Rodman Shankle, Phillip C.-Y. Sheu, 1996, Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96.

Physics-based model acquisition and identification in airborne spectral images

Glenn Healey, David Slater, G. Healey, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Combining color and geometric information for the illumination invariant recognition of 3-D objects

Glenn Healey, David Slater, 1995, Proceedings of IEEE International Conference on Computer Vision.

Towards a model of the U.S. stock market: How important is the securities information processor?

David Slater, Brian F. Tivnan, Jason G. Veneman, 2017, 2017 Winter Simulation Conference (WSC).

A language-agnostic model for semantic source code labeling

Ben Gelman, David Slater, Jessica Moore, 2018, MASES@ASE.

Tradeoffs between jamming resilience and communication efficiency in key establishment

Radha Poovendran, Patrick Tague, David Slater, 2009, MOCO.

Computing illumination-invariant descriptors of spatially filtered color image regions

Glenn Healey, David Slater, 1997, IEEE Trans. Image Process..

Throughput optimization for multipath unicast routing under probabilistic jamming

Radha Poovendran, James A. Ritcey, Patrick Tague, 2008, 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications.

Convex Optimized Population Receptive Field (CO-pRF) Mapping

Antoine Lutti, Ferath Kherif, Kendrick Kay, 2017, bioRxiv.

Object recognition using invariant profiles

Glenn Healey, David Slater, 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

A coding-theoretic approach for efficient message verification over insecure channels

Radha Poovendran, Patrick Tague, David Slater, 2009, WiSec '09.

Illumination-Invariant Recognition of Local Color Distributions using Linear Models for Spectral Reflectance

Glenn Healey, David Slater, 1995, Color Imaging Conference.

Linear programming models for jamming attacks on network traffic flows

Guevara Noubir, Radha Poovendran, Patrick Tague, 2008, 2008 6th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks and Workshops.

Exploiting an atmospheric model for automated invariant material identification in hyperspectral imagery

Glenn Healey, David Slater, 1998, Defense, Security, and Sensing.

Vulnerability of Network Traffic under Node Capture Attacks Using Circuit Theoretic Analysis

Radha Poovendran, Patrick Tague, Jason Rogers, 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

Simultaneous estimation of population receptive field and hemodynamic parameters from single point BOLD responses using Metropolis-Hastings sampling

Piotr Bogorodzki, David Slater, Bogdan Draganski, 2017, NeuroImage.

The impact of viewing geometry on vision through the atmosphere

Glenn Healey, Pei-hsiu Suen, David Slater, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Malicious Behavior Detection using Windows Audit Logs

David Slater, Konstantin Berlin, Joshua Saxe, 2015, AISec@CCS.

Material mapping for 3D objects in hyperspectral images

Glenn Healey, David Slater, G. Healey, 1999, Defense, Security, and Sensing.

Spectral change space representation for invariant material tracking in hyperspectral images

Glenn Healey, David Slater, 1999, Optics & Photonics.

What is the spectral dimensionality of illumination functions in outdoor scenes?

Glenn Healey, David Slater, G. Healey, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

Measures for maintenance management: A case study

Martin Neil, David Slater, Robert J. Cole, 1990, J. Softw. Maintenance Res. Pract..

Connectomic approaches before the connectome

Flavio Dell'Acqua, David Slater, Michel Thiebaut de Schotten, 2013, NeuroImage.

Modeling the spectral variability of ground irradiance functions

Glenn Healey, David Slater, Zigang Pan, 2000, SPIE Defense + Commercial Sensing.

Material identification over variation of scene conditions and viewing geometry

Glenn Healey, David Slater, Pei-Hsiu Suen, 2000, SPIE Defense + Commercial Sensing.

A novel use of color computer vision methods for the quantification of neurons in 3-D brain tissue samples

Glenn Healey, William Rodman Shankle, Phillip C.-Y. Sheu, 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

Modeling the sensitivity of moment invariants in a recognition system

Glenn Healey, David Slater, 1998 .

A system for real-time fire detection

Glenn Healey, David Slater, Ted Lin, 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

A Convolutional Neural Network for Language-Agnostic Source Code Summarization

Ben Gelman, David Slater, Jessica Moore, 2019, ENASE.

Evaluating the Vulnerability of Network Traffic Using Joint Security and Routing Analysis

Radha Poovendran, Patrick Tague, Jason Rogers, 2009, IEEE Transactions on Dependable and Secure Computing.

The Illumination-Invariant Recognition of 3D Objects Using Local Color Invariants

Glenn Healey, David Slater, G. Healey, 1996, IEEE Trans. Pattern Anal. Mach. Intell..

The impact of viewing geometry on material discriminability in hyperspectral images

Glenn Healey, Pei-hsiu Suen, David Slater, 2001, IEEE Trans. Geosci. Remote. Sens..

Invariant recognition in hyperspectral images

Glenn Healey, David Slater, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Material classification for 3D objects in aerial hyperspectral images

Glenn Healey, David Slater, G. Healey, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Models and methods for automated material identification in hyperspectral imagery acquired under unknown illumination and atmospheric conditions

Glenn Healey, David Slater, G. Healey, 1999, IEEE Trans. Geosci. Remote. Sens..

The Illumination-Invariant Matching of Deterministic Local Structure in Color Images

Glenn Healey, David Slater, G. Healey, 1997, IEEE Trans. Pattern Anal. Mach. Intell..

Lessons learned: technology transfer from terrestrial spectroscopy to biomedicine

Glenn Healey, David Slater, G. Healey, 2000, BiOS.

Using illumination invariant descriptors for recognition

Glenn Healey, David Slater, 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Global spectral irradiance variability and material discrimination at Boulder, Colorado.

Glenn Healey, David Slater, Zhihong Pan, 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.

Analyzing the spectral dimensionality of outdoor visible and near-infrared illumination functions

Glenn Healey, David Slater, G. Healey, 1998 .

INVARIANT SUBPIXEL MATERIAL IDENTIFICATION IN AVIRIS IMAGERY

Bea Thai, Glenn Healey, David Slater, 1999 .