Christopher R. Ratto

发表

Physics-based features for identifying contextual factors affecting landmine detection with ground-penetrating radar

Leslie M. Collins, Kenneth D. Morton, Peter A. Torrione, 2011, Defense + Commercial Sensing.

A Bayesian method for discriminative context-dependent fusion of GPR-based detection algorithms

Leslie M. Collins, Kenneth D. Morton, Peter A. Torrione, 2012, Other Conferences.

Integration of lidar with the NIITEK GPR for improved performance on rough terrain

Leslie M. Collins, Kenneth D. Morton, Peter A. Torrione, 2012, Other Conferences.

Feature Selection Methods for Zero-Shot Learning of Neural Activity

Christopher R. Ratto, Michael Wolmetz, Nathan E. Crone, 2017, Front. Neuroinform..

Analysis of Linear Prediction for Soil Characterization in GPR Data for Countermine Applications

Leslie M. Collins, Kenneth D. Morton, Peter A. Torrione, 2014 .

Context-Dependent Classification: An Approach for Achieving Robust Remote Sensing Performance in Changing Conditions

Leslie M. Collins, Kenneth D. Morton, Peter A. Torrione, 2012 .

Information surfing with the JHU/APL coherent imager

Christopher R. Ratto, Kevin C. Wolfe, Kara R. Shipley, 2015, Defense + Security Symposium.

A hidden Markov context model for GPR-based landmine detection incorporating stick-breaking priors

Leslie M. Collins, Christopher R. Ratto, Peter Torrione, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

A comparison of principal components and endmember-based contextual learning for hyperspectral anomaly classification

Leslie M. Collins, Christopher R. Ratto, Peter Torrione, 2011, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Context-dependent landmine detection with ground-penetrating radar using a Hidden Markov Context Model

Leslie M. Collins, Christopher R. Ratto, Peter Torrione, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Cost-Constrained Feature Optimization in Kernel Machine Classifiers

Christopher R. Ratto, Carlos A. Caceres, Howard C. Schoeberlein, 2015, IEEE Signal Processing Letters.

Contextual learning in ground-penetrating radar data using Dirichlet process priors

Leslie M. Collins, Kenneth D. Morton, Peter A. Torrione, 2011, Defense + Commercial Sensing.

Change-based threat detection in urban environments with a forward-looking camera

Jordan M. Malof, Leslie M. Collins, Kenneth D. Morton, 2012, Other Conferences.

Change detection for detecting potential threats in forward-looking video and downward-looking ground-penetrating radar data

Leslie M. Collins, Kenneth D. Morton, Peter A. Torrione, 2011, Defense + Commercial Sensing.

Approaches to Zero-Shot stimulus decoding in ECoG and potential BCI Applications

Christopher R. Ratto, Michael Wolmetz, Nathan E. Crone, 2017, GBCIC.

Bayesian Context-Dependent Learning for Anomaly Classification in Hyperspectral Imagery

Leslie M. Collins, Christopher R. Ratto, Peter Torrione, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Semantic attributes are encoded in human electrocorticographic signals during visual object recognition

Christopher R. Ratto, Mark A. Chevillet, Michael Wolmetz, 2017, NeuroImage.

Feature based recognition of submerged objects in holographic imagery

Christopher R. Ratto, Kevin C. Baldwin, Nathaniel Beagley, 2014, Defense + Security Symposium.

Multiple instance and context dependent learning in hyperspectral data

Leslie M. Collins, Christopher R. Ratto, Peter Torrione, 2009, 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

Nonparametric Bayesian Context Learning for Buried Threat Detection

Christopher R. Ratto, 2012 .

Exploiting Ground-Penetrating Radar Phenomenology in a Context-Dependent Framework for Landmine Detection and Discrimination

Leslie M. Collins, Christopher R. Ratto, Peter Torrione, 2011, IEEE Transactions on Geoscience and Remote Sensing.

Context-dependent feature selection for landmine detection with ground-penetrating radar

Leslie M. Collins, Peter A. Torrione, Christopher R. Ratto, 2009, Defense + Commercial Sensing.

Context-dependent feature selection using unsupervised contexts applied to GPR-based landmine detection

Leslie M. Collins, Peter A. Torrione, Christopher R. Ratto, 2010, Defense + Commercial Sensing.

The JHU/APL AI technology roadmap: research and exploratory development on the path to intelligent systems for every mission

Christopher R. Ratto, Kapil D. Katyal, Michael Wolmetz, 2021 .

Cost-Constrained Classifier Cascade using Sparse Probit Models : Invited Presentation

Christopher R. Ratto, Waseem A. Malik, I. Kabir, 2019, 2019 53rd Annual Conference on Information Sciences and Systems (CISS).

Analysis of Linear Prediction for Soil Characterization in GPR Data for Countermine Applications

Christopher R. Ratto, L. Collins, P. Torrione, 2014, Sensing and Imaging.

Closed-loop machine learning for discovery of novel superconductors

Christopher R. Ratto, Christopher D. Stiles, Timothy J. Montalbano, 2022, 2212.11855.

Adversarial examples in remote sensing

Wojciech Czaja, Christopher R. Ratto, I-Jeng Wang, 2018, SIGSPATIAL/GIS.

Solar Power Forecasting: A Review

Christopher R. Ratto, Christopher Ratto, Jean-François Boland, 2016 .

Meta Arcade: A Configurable Environment Suite for Meta-Learning pdf

Christopher R. Ratto, Kapil D. Katyal, Gautam K. Vallabha, 2021, ArXiv.

Visual Goal-Directed Meta-Imitation Learning

Christopher R. Ratto, Corban G. Rivera, D. Handelman, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).