Christopher R. Ratto

According to our database, Christopher R. Ratto authored at least 13 papers between 2009 and 2023.

Collaborative distances:

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

2023

Metrics for Detecting and Characterizing Activities from Heterogeneous Satellite Sensors.

Christopher R. Ratto, Michael T. Kelbaugh, Amit Banerjee, Hirsh R. Goldberg

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Visual Goal-Directed Meta-Imitation Learning.

Corban G. Rivera, David A. Handelman, Christopher R. Ratto, David Patrone, Bart L. Paulhamus

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2017

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

Kyle Rupp, Matthew J. Roos, Griffin Milsap, Carlos A. Caceres, Christopher R. Ratto, Mark A. Chevillet, Nathan E. Crone, Michael Wolmetz

NeuroImage, 2017

Feature Selection Methods for Zero-Shot Learning of Neural Activity.

Carlos A. Caceres, Matthew J. Roos, Kyle Rupp, Griffin Milsap, Nathan E. Crone, Michael Wolmetz, Christopher R. Ratto

Frontiers Neuroinformatics, 2017

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

Christopher R. Ratto, Carlos A. Caceres, Matthew J. Roos, Kyle Rupp, Griffin Milsap, Nathan E. Crone, Michael Wolmetz

Proceedings of the From Vision to Reality, 2017

2015

Cost-Constrained Feature Optimization in Kernel Machine Classifiers.

Christopher R. Ratto, Carlos A. Caceres, Howard C. Schoeberlein

IEEE Signal Process. Lett., 2015

2014

Bayesian Context-Dependent Learning for Anomaly Classification in Hyperspectral Imagery.

Christopher R. Ratto, Kenneth D. Morton, Leslie M. Collins, Peter Torrione

IEEE Trans. Geosci. Remote. Sens., 2014

2012

Nonparametric Bayesian Context Learning for Buried Threat Detection.

Christopher R. Ratto

PhD thesis, 2012

2011

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

Christopher R. Ratto, Peter Torrione, Leslie M. Collins

IEEE Trans. Geosci. Remote. Sens., 2011

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

Christopher R. Ratto, Kenneth D. Morton, Leslie M. Collins, Peter A. Torrione

Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

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

Christopher R. Ratto, Kenneth Morton, Leslie M. Collins, Peter Torrione

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010

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

Christopher R. Ratto, Peter Torrione, Kenneth Morton, Leslie M. Collins

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009

Multiple instance and context dependent learning in hyperspectral data.

Peter Torrione, Christopher R. Ratto, Leslie M. Collins

Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009