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Journal Articles
- 2024
[j9]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:
A collective AI via lifelong learning and sharing at the edge. Nat. Mac. Intell. 6(3): 251-264 (2024)- 2019
- [j8]Utsav B. Gewali
, Sildomar T. Monteiro, Eli Saber:
Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with Limited Ground Truth. Remote. Sens. 11(13): 1614 (2019) - [j7]Utsav B. Gewali, Sildomar T. Monteiro, Eli Saber:
Spectral Super-Resolution with Optimized Bands. Remote. Sens. 11(14): 1648 (2019) - 2015
- [j6]Thierry Peynot, Sildomar T. Monteiro, Alonzo Kelly, Michel Devy:
Editorial: Special issue on Alternative Sensing Techniques for Robot Perception. J. Field Robotics 32(1): 1-2 (2015) - 2014
- [j5]Richard J. Murphy, Sven Schneider, Sildomar T. Monteiro:
Mapping Layers of Clay in a Vertical Geological Surface Using Hyperspectral Imagery: Variability in Parameters of SWIR Absorption Features under Different Conditions of Illumination. Remote. Sens. 6(9): 9104-9129 (2014) - [j4]Richard J. Murphy, Sven Schneider, Sildomar T. Monteiro:
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. IEEE Trans. Geosci. Remote. Sens. 52(5): 2843-2857 (2014) - 2012
- [j3]Richard J. Murphy, Sildomar T. Monteiro, Sven Schneider:
Evaluating Classification Techniques for Mapping Vertical Geology Using Field-Based Hyperspectral Sensors. IEEE Trans. Geosci. Remote. Sens. 50(8): 3066-3080 (2012) - 2010
- [j2]Ali Kadkhodaie-Ilkhchi, Sildomar T. Monteiro, Fabio Ramos, Peter Hatherly:
Rock Recognition From MWD Data: A Comparative Study of Boosting, Neural Networks, and Fuzzy Logic. IEEE Geosci. Remote. Sens. Lett. 7(4): 680-684 (2010) - 2007
- [j1]Sildomar Takahashi Monteiro, Yukio Kosugi:
Particle Swarms for Feature Extraction of Hyperspectral Data. IEICE Trans. Inf. Syst. 90-D(7): 1038-1046 (2007)
Conference and Workshop Papers
- 2018
- [c28]Gefei Yang, Utsav B. Gewali, Emmett J. Ientilucci, Michael G. Gartley, Sildomar T. Monteiro:
Dual-Channel Densenet for Hyperspectral Image Classification. IGARSS 2018: 2595-2598 - 2017
- [c27]Yansong Liu, Sankaranarayanan Piramanayagam, Sildomar T. Monteiro, Eli Saber:
Dense Semantic Labeling of Very-High-Resolution Aerial Imagery and LiDAR with Fully-Convolutional Neural Networks and Higher-Order CRFs. CVPR Workshops 2017: 1561-1570 - [c26]Utsav B. Gewali, Sildomar T. Monteiro:
Using Bayesian optimization to jointly tune the classifier and the random field for spatial-spectral hyperspectral classification. IGARSS 2017: 3692-3695 - [c25]Yansong Liu, Sankaranarayanan Piramanayagam, Sildomar T. Monteiro, Eli Saber:
Semantic segmentation of remote sensing data using Gaussian processes and higher-order CRFS. IGARSS 2017: 5454-5457 - 2016
- [c24]Yang Hu, Sildomar T. Monteiro, Eli Saber:
Super pixel based classification using conditional random fields for hyperspectral images. ICIP 2016: 2202-2205 - [c23]Utsav B. Gewali, Sildomar T. Monteiro:
A novel covariance function for predicting vegetation biochemistry from hyperspectral imagery with Gaussian processes. ICIP 2016: 2216-2220 - [c22]Yilong Liang, Sildomar T. Monteiro, Eli S. Saber:
Gaussian Processes for Object Detection in High Resolution Remote Sensing Images. ICMLA 2016: 998-1003 - [c21]Yansong Liu, Sildomar T. Monteiro, Eli Saber:
Vehicle detection from aerial color imagery and airborne LiDAR data. IGARSS 2016: 1384-1387 - [c20]Utsav B. Gewali, Sildomar T. Monteiro:
Spectral angle based unary energy functions for spatial-spectral hyperspectral classification using Markov random fields. WHISPERS 2016: 1-6 - [c19]Utsav B. Gewali, Sildomar T. Monteiro:
Multitask learning of vegetation biochemistry from hyperspectral data. WHISPERS 2016: 1-5 - 2015
- [c18]Trevor M. Sands, Deep Tayal, Matthew E. Morris, Sildomar T. Monteiro:
Robust stock value prediction using support vector machines with particle swarm optimization. CEC 2015: 3327-3331 - [c17]Yang Hu, Eli Saber, Sildomar T. Monteiro, Nathan D. Cahill, David W. Messinger:
Classification of hyperspectral images based on conditional random fields. Image Processing: Machine Vision Applications 2015: 940510 - [c16]Yang Hu, Sildomar T. Monteiro, Eli Saber:
Comparing inference methods for conditional random fields for hyperspectral image classification. WHISPERS 2015: 1-4 - 2013
- [c15]Sildomar T. Monteiro, Juan I. Nieto, Richard J. Murphy, Rishi Ramakrishnan, Zachary Taylor:
Combining strong features for registration of hyperspectral and lidar data from field-based platforms. IGARSS 2013: 1210-1213 - [c14]Oliver M. Cliff, Sildomar T. Monteiro:
Evaluating techniques for learning a feedback controller for low-cost manipulators. IROS 2013: 704-709 - [c13]Seong H. Lee, Sildomar T. Monteiro, Steven J. Scheding:
Submodular volume simplex analysis: A greedy algorithm for hyperspectral unmixng. WHISPERS 2013: 1-4 - 2012
- [c12]Hang Zhou, Peter Hatherly, Sildomar T. Monteiro, Fabio Ramos, Florian Oppolzer, Eric Nettleton, Steve Scheding:
Automatic rock recognition from drilling performance data. ICRA 2012: 3407-3412 - 2011
- [c11]Anthony S. J. Tjiong, Sildomar T. Monteiro:
Feature selection with PSO and kernel methods for hyperspectral classification. IEEE Congress on Evolutionary Computation 2011: 1762-1769 - [c10]Sildomar T. Monteiro, Richard J. Murphy:
Embedded feature selection of hyperspectral bands with boosted decision trees. IGARSS 2011: 2361-2364 - [c9]Sildomar T. Monteiro, Joop van de Ven, Fabio Ramos, Peter Hatherly:
Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining. IJCAI 2011: 2500-2506 - 2010
- [c8]Hang Zhou, Sildomar T. Monteiro, Peter Hatherly, Fabio T. Ramos, Eric Nettleton, Florian Oppolzer:
Automated rock recognition with wavelet feature space projection and Gaussian Process classification. ICRA 2010: 4444-4450 - [c7]Sildomar T. Monteiro, Richard J. Murphy:
Calibrating probabilities for hyperspectral classification of rock types. IGARSS 2010: 2800-2803 - [c6]Juan I. Nieto, Sildomar T. Monteiro, Diego Viejo:
3D geological modelling using laser and hyperspectral data. IGARSS 2010: 4568-4571 - 2009
- [c5]Sildomar T. Monteiro, Fabio T. Ramos, Peter Hatherly:
Conditional Random Fields for Rock Characterization Using Drill Measurements. ICMLA 2009: 366-371 - 2008
- [c4]Sildomar Takahashi Monteiro, Kuniaki Uto, Yukio Kosugi, Kunio Oda, Yoshiyuki Iino, Genya Saito:
Hyperspectral Image Classification of Grass Species in Northeast Japan. IGARSS (4) 2008: 399-402 - 2007
- [c3]Sildomar Takahashi Monteiro, Yukio Kosugi:
A particle swarm optimization-based approach for hyperspectral band selection. IEEE Congress on Evolutionary Computation 2007: 3335-3340 - [c2]Sildomar Takahashi Monteiro, Yukio Kosugi:
Applying Particle Swarm Intelligence for Feature Selection of Spectral Imagery. ISDA 2007: 933-938 - 2006
- [c1]Sildomar Takahashi Monteiro, Yohei Minekawa, Yukio Kosugi, T. Akazawa, Kunio Oda:
Prediction of Sweetness and Nitrogen Content in Soybean Crops from High Resolution Hyperspectral Imagery. IGARSS 2006: 2263-2266
Informal and Other Publications
- 2023
- [i5]Nicholas Rober, Karan Mahesh, Tyler M. Paine, Max L. Greene, Steven Lee, Sildomar T. Monteiro, Michael R. Benjamin, Jonathan P. How:
Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances. CoRR abs/2310.19256 (2023) - 2018
- [i4]Utsav B. Gewali, Sildomar T. Monteiro:
A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis. CoRR abs/1801.08268 (2018) - [i3]Utsav B. Gewali, Sildomar T. Monteiro, Eli Saber:
Machine learning based hyperspectral image analysis: A survey. CoRR abs/1802.08701 (2018) - 2016
- [i2]Utsav B. Gewali, Sildomar T. Monteiro:
Spectral Angle Based Unary Energy Functions for Spatial-Spectral Hyperspectral Classification using Markov Random Fields. CoRR abs/1610.06985 (2016) - [i1]Utsav B. Gewali, Sildomar T. Monteiro:
Multitask Learning of Vegetation Biochemistry from Hyperspectral Data. CoRR abs/1610.06987 (2016)
Coauthor Index
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last updated on 2024-07-19 21:04 CEST by the dblp team
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