Sildomar T. Monteiro

According to our database, Sildomar T. Monteiro authored at least 41 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A collective AI via lifelong learning and sharing at the edge.

Andrea Soltoggio, Eseoghene Ben-Iwhiwhu, Vladimir Braverman, Eric Eaton, Benjamin Epstein, Yunhao Ge, Lucy Halperin, Jonathan P. How, Laurent Itti, Michael A. Jacobs, Pavan Kantharaju, Long Le, Steven Lee, Xinran Liu, Sildomar T. Monteiro, David Musliner, Saptarshi Nath, Priyadarshini Panda, Christos Peridis, Hamed Pirsiavash, Vishwa S. Parekh, Kaushik Roy, Shahaf S. Shperberg, Hava T. Siegelmann, Peter Stone, Kyle Vedder, Jingfeng Wu, Lin Yang, Guangyao Zheng, Soheil Kolouri

Nat. Mac. Intell., 2024

Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis.

Karan Mahesh, Tyler M. Paine, Max L. Greene, Nicholas Rober, Steven Lee, Sildomar T. Monteiro, Anuradha Annaswamy, Michael R. Benjamin, Jonathan P. How

CoRR, 2024

Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances.

Nicholas Rober, Karan Mahesh, Tyler M. Paine, Max L. Greene, Steven Lee, Sildomar T. Monteiro, Michael R. Benjamin, Jonathan P. How

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2019

Spectral Super-Resolution with Optimized Bands.

Utsav B. Gewali, Sildomar T. Monteiro, Eli Saber

Remote. Sens., 2019

Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with Limited Ground Truth.

Utsav B. Gewali, Sildomar T. Monteiro, Eli Saber

Remote. Sens., 2019

2018

Machine learning based hyperspectral image analysis: A survey.

Utsav B. Gewali, Sildomar T. Monteiro, Eli Saber

CoRR, 2018

A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis.

Utsav B. Gewali, Sildomar T. Monteiro

CoRR, 2018

Dual-Channel Densenet for Hyperspectral Image Classification.

Gefei Yang, Utsav B. Gewali, Emmett J. Ientilucci, Michael G. Gartley, Sildomar T. Monteiro

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Semantic segmentation of remote sensing data using Gaussian processes and higher-order CRFS.

Yansong Liu, Sankaranarayanan Piramanayagam, Sildomar T. Monteiro, Eli Saber

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Using Bayesian optimization to jointly tune the classifier and the random field for spatial-spectral hyperspectral classification.

Utsav B. Gewali, Sildomar T. Monteiro

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Dense Semantic Labeling of Very-High-Resolution Aerial Imagery and LiDAR with Fully-Convolutional Neural Networks and Higher-Order CRFs.

Yansong Liu, Sankaranarayanan Piramanayagam, Sildomar T. Monteiro, Eli Saber

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Multitask learning of vegetation biochemistry from hyperspectral data.

Utsav B. Gewali, Sildomar T. Monteiro

Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Spectral angle based unary energy functions for spatial-spectral hyperspectral classification using Markov random fields.

Utsav B. Gewali, Sildomar T. Monteiro

Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Vehicle detection from aerial color imagery and airborne LiDAR data.

Yansong Liu, Sildomar T. Monteiro, Eli Saber

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Gaussian Processes for Object Detection in High Resolution Remote Sensing Images.

Yilong Liang, Sildomar T. Monteiro, Eli S. Saber

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Super pixel based classification using conditional random fields for hyperspectral images.

Yang Hu, Sildomar T. Monteiro, Eli Saber

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

A novel covariance function for predicting vegetation biochemistry from hyperspectral imagery with Gaussian processes.

Utsav B. Gewali, Sildomar T. Monteiro

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Editorial: Special issue on Alternative Sensing Techniques for Robot Perception.

Thierry Peynot, Sildomar T. Monteiro, Alonzo Kelly, Michel Devy

J. Field Robotics, 2015

Comparing inference methods for conditional random fields for hyperspectral image classification.

Yang Hu, Sildomar T. Monteiro, Eli Saber

Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

Classification of hyperspectral images based on conditional random fields.

Yang Hu, Eli Saber, Sildomar T. Monteiro, Nathan D. Cahill, David W. Messinger

Proceedings of the Image Processing: Machine Vision Applications VIII, 2015

Robust stock value prediction using support vector machines with particle swarm optimization.

Trevor M. Sands, Deep Tayal, Matthew E. Morris, Sildomar T. Monteiro

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Consistency of Measurements of Wavelength Position From Hyperspectral Imagery: Use of the Ferric Iron Crystal Field Absorption at ~900 nm as an Indicator of Mineralogy.

Richard J. Murphy, Sven Schneider, Sildomar T. Monteiro

IEEE Trans. Geosci. Remote. Sens., 2014

Mapping Layers of Clay in a Vertical Geological Surface Using Hyperspectral Imagery: Variability in Parameters of SWIR Absorption Features under Different Conditions of Illumination.

Richard J. Murphy, Sven Schneider, Sildomar T. Monteiro

Remote. Sens., 2014

2013

Submodular volume simplex analysis: A greedy algorithm for hyperspectral unmixng.

Seong H. Lee, Sildomar T. Monteiro, Steven J. Scheding

Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Evaluating techniques for learning a feedback controller for low-cost manipulators.

Oliver M. Cliff, Sildomar T. Monteiro

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Combining strong features for registration of hyperspectral and lidar data from field-based platforms.

Sildomar T. Monteiro, Juan I. Nieto, Richard J. Murphy, Rishi Ramakrishnan, Zachary Taylor

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012

Evaluating Classification Techniques for Mapping Vertical Geology Using Field-Based Hyperspectral Sensors.

Richard J. Murphy, Sildomar T. Monteiro, Sven Schneider

IEEE Trans. Geosci. Remote. Sens., 2012

Automatic rock recognition from drilling performance data.

Hang Zhou, Peter Hatherly, Sildomar T. Monteiro, Fabio Ramos, Florian Oppolzer, Eric Nettleton, Steve Scheding

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2011

Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining.

Sildomar T. Monteiro, Joop van de Ven, Fabio Ramos, Peter Hatherly

Proceedings of the IJCAI 2011, 2011

Embedded feature selection of hyperspectral bands with boosted decision trees.

Sildomar T. Monteiro, Richard J. Murphy

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

Feature selection with PSO and kernel methods for hyperspectral classification.

Anthony S. J. Tjiong, Sildomar T. Monteiro

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

Rock Recognition From MWD Data: A Comparative Study of Boosting, Neural Networks, and Fuzzy Logic.

Ali Kadkhodaie-Ilkhchi, Sildomar T. Monteiro, Fabio Ramos, Peter Hatherly

IEEE Geosci. Remote. Sens. Lett., 2010

3D geological modelling using laser and hyperspectral data.

Juan I. Nieto, Sildomar T. Monteiro, Diego Viejo

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

Calibrating probabilities for hyperspectral classification of rock types.

Sildomar T. Monteiro, Richard J. Murphy

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

Automated rock recognition with wavelet feature space projection and Gaussian Process classification.

Hang Zhou, Sildomar T. Monteiro, Peter Hatherly, Fabio T. Ramos, Eric Nettleton, Florian Oppolzer

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009

Conditional Random Fields for Rock Characterization Using Drill Measurements.

Sildomar T. Monteiro, Fabio T. Ramos, Peter Hatherly

Proceedings of the International Conference on Machine Learning and Applications, 2009

2008

Hyperspectral Image Classification of Grass Species in Northeast Japan.

Sildomar Takahashi Monteiro, Kuniaki Uto, Yukio Kosugi, Kunio Oda, Yoshiyuki Iino, Genya Saito

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2007

Particle Swarms for Feature Extraction of Hyperspectral Data.

Sildomar Takahashi Monteiro, Yukio Kosugi

IEICE Trans. Inf. Syst., 2007

Applying Particle Swarm Intelligence for Feature Selection of Spectral Imagery.

Sildomar Takahashi Monteiro, Yukio Kosugi

Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

A particle swarm optimization-based approach for hyperspectral band selection.

Sildomar Takahashi Monteiro, Yukio Kosugi

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Prediction of Sweetness and Nitrogen Content in Soybean Crops from High Resolution Hyperspectral Imagery.

Sildomar Takahashi Monteiro, Yohei Minekawa, Yukio Kosugi, T. Akazawa, Kunio Oda

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006