Dalton D. Lunga

88 papers A* 3B 1C 23Journal 37Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
SimLBR: Learning to Detect Fake Images by Learning to Detect Real Images.
CoRR
Aayush Dhakal, Subash Khanal, Srikumar Sastry, Jacob Arndt, Philipe Ambrozio Dias, Dalton D. Lunga, Nathan Jacobs
2025 — conf
Interactive Rotated Object Detection for Novel Class Detection in Remotely Sensed Imagery.
WACV (Workshops)
Marvin Burges, Philipe Ambrozio Dias, Carson Woody, Sarah Walters, Dalton D. Lunga
2024 J jnl
A Science Gateway for the Repeatable Analysis of Machine Learning Predicted Gravity Anomalies.
IEEE Geosci. Remote. Sens. Lett.
Jacob Arndt, Jason Wohlgemuth, Hsiuhan Lexie Yang, Jordan Bowman, Dalton D. Lunga, Dawn King
2024 J jnl
A five-year milestone: reflections on advances and limitations in GeoAI research.
Ann. GIS
Yingjie Hu, Michael F. Goodchild, A-Xing Zhu, May Yuan, Orhun Aydin, Budhendra Bhaduri, Song Gao, Wenwen Li, Dalton D. Lunga, Shawn D. Newsam
2024 C conf
Conditional Experts for Improved Building Damage Assessment Across Satellite Imagery View Angles.
IGARSS
Philipe A. Dias, Jacob Arndt, Marie L. Urban, Dalton D. Lunga
2024 C conf
Deep Learning Scene Classification Experiments in Automatic Detection of Slums on Planetscope Imagery.
IGARSS
Jacob Arndt, Anurupa Roy, Marie L. Urban, Dalton D. Lunga
2024 C conf
Introducing SpaceNet 9 - Cross-Modal Satellite Imagery Registration for Natural Disaster Responses.
IGARSS
Ronny Hänsch, Jacob Arndt, Philipe A. Dias, Abhishek Potnis, Dalton D. Lunga, Desiree Petrie, Todd M. Bacastow
2024 — conf
OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery.
SIGSPATIAL/GIS
Philipe A. Dias, Aristeidis Tsaris, Jordan Bowman, Abhishek Potnis, Jacob Arndt, Hsiuhan Lexie Yang, Dalton D. Lunga
2024 J jnl
OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery.
CoRR
Philipe A. Dias, Aristeidis Tsaris, Jordan Bowman, Abhishek Potnis, Jacob Arndt, Hsiuhan Lexie Yang, Dalton D. Lunga
2024 — conf
Pretraining Billion-Scale Geospatial Foundational Models on Frontier.
IPDPS (Workshops)
Aristeidis Tsaris, Philipe Ambrozio Dias, Abhishek Potnis, Junqi Yin, Feiyi Wang, Dalton D. Lunga
2024 J jnl
Pretraining Billion-scale Geospatial Foundational Models on Frontier.
CoRR
Aristeidis Tsaris, Philipe Ambrozio Dias, Abhishek Potnis, Junqi Yin, Feiyi Wang, Dalton D. Lunga
2024 — ed.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2024, Atlanta, GA, USA, 29 October 2024 - 1 November 2024
GeoSearch@SIGSPATIAL
Hao Li, Abhishek Potnis, Wenwen Li, Dalton D. Lunga, Martin Werner, Andreas Züfle
2024 — ed.
Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2024, Atlanta, GA, USA, 29 October 2024 - 1 November 2024
GeoAI@SIGSPATIAL
Song Gao, Gengchen Mai, Shawn D. Newsam, Lexie Yang, Dalton D. Lunga, Di Zhu, Bruno Martins, Samantha T. Arundel
2024 J jnl
Recent Advances in Machine Learning for Remote Sensing Toward the Sustainable Development Goals.
IEEE Geosci. Remote. Sens. Lett.
Ujjwal Verma, Dalton D. Lunga, Ronny Hänsch, Claudio Persello, Silvia Liberata Ullo
2024 J jnl
Report of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2024).
ACM SIGSPATIAL Special
Song Gao, Gengchen Mai, Shawn D. Newsam, Lexie Yang, Dalton D. Lunga, Di Zhu, Bruno Martins, Samantha T. Arundel
2024 C conf
Towards Diverse and Representative Global Pretraining Datasets for Remote Sensing Foundation Models.
IGARSS
Jacob Arndt, Philipe A. Dias, Abhishek Potnis, Dalton D. Lunga
2024 C conf
Towards Interpretable Machine Learning Metrics For Earth Observation Image Analysis.
IGARSS
Ujjwal Verma, Dalton D. Lunga, Abhishek Potnis
2023 C conf
ARD, FAIR Earth Observation Principles, Data Fusion: Where are we and where do we need to go?
IGARSS
Dalton D. Lunga, Ronny Hänsch, Ujjwal Verma, Fabio Pacifici, George Percivall, Silvia Liberata Ullo
2023 C conf
An Agenda for Multimodal Foundation Models for Earth Observation.
IGARSS
Philipe A. Dias, Abhishek Potnis, Sreelekha Guggilam, Lexie Yang, Aristeidis Tsaris, Henry Medeiros, Dalton D. Lunga
2023 J jnl
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.
CoRR
Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl W. Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
2023 — ed.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2023, Hamburg, Germany, 13 November 2023
GeoSearch@SIGSPATIAL
Hao Li, Gabriele Cavallaro, Dora B. Heras, Dalton D. Lunga, Martin Werner, Andreas Züfle
2023 — ed.
Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2023, Hamburg, Germany, 13 November 2023
GeoAI@SIGSPATIAL
Shawn D. Newsam, Lexie Yang, Gengchen Mai, Bruno Martins, Dalton D. Lunga, Song Gao
2023 C conf
Scaling Automatic Vector Data Alignment to Satellite Imagery.
IGARSS
Abhishek Potnis, Dalton D. Lunga, Philipe A. Dias, Lexie Yang, Jacob Arndt, Jordan Bowman
2023 C conf
SpaceNet 8: Winning Approaches to Multi-Class Feature Segmentation from Satellite Imagery for Flood Disasters.
IGARSS
Ronny Hänsch, Jacob Arndt, Dalton D. Lunga, Tyler Pedelose, Arnold P. Boedihardjo, Joshua Pfefferkorn, Desiree Petrie, Todd M. Bacastow
2023 C conf
Towards Geospatial Knowledge Graph Infused Neuro-Symbolic AI for Remote Sensing Scene Understanding.
IGARSS
Abhishek Potnis, Dalton D. Lunga, Alexandre Sorokine, Philipe A. Dias, Lexie Yang, Jacob Arndt, Jordan Bowman, Jason Wohlgemuth
2023 C conf
Towards Rapid Response Updates of Populations at Risk.
IGARSS
Marie L. Urban, Jessica Moehl, Philipe A. Dias, Joseph Tuccillo, Andrew Reith, Kelly M. Sims, Sarah Walters, Jacob Arndt, Abhishek Potnis, Dalton D. Lunga
2022 C conf
Advancing Data Fusion in Earth Sciences.
IGARSS
Dalton D. Lunga, Philipe A. Dias
2022 A* conf
Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability.
KDD
Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Takahiro Yabe, Xiaofan Liang, Bhavani Ananthabhotla, Nikhil Behari, Sreelekha Guggilam, Guanghua Chi
2022 C conf
Embedding Ethics and Trustworthiness for Sustainable AI in Earth Sciences: Where Do We Begin?
IGARSS
Philipe A. Dias, Dalton D. Lunga
2022 J jnl
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research.
CoRR
Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiuhan Lexie Yang, Xueqing Deng
2022 J jnl
Learning to Count Grave Sites for Cemetery Observation Models With Satellite Imagery.
IEEE Geosci. Remote. Sens. Lett.
Dalton D. Lunga, Rohan Dhamdhere, Sarah Walters, Lauryn Bragg, Nikhil Makkar, Marie L. Urban
2022 J jnl
Model Assumptions and Data Characteristics: Impacts on Domain Adaptation in Building Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Philipe A. Dias, Yuxin Tian, Shawn D. Newsam, Aristeidis Tsaris, Jacob D. Hinkle, Dalton D. Lunga
2022 — ed.
Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2022, Seattle, Washington, 1 November 2022
GeoAI@SIGSPATIAL
Dalton D. Lunga, Shawn D. Newsam
2022 J jnl
Report of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2022).
ACM SIGSPATIAL Special
Bruno Martins, Dalton D. Lunga, Song Gao, Shawn D. Newsam, Lexie Yang, Xueqing Deng, Gengchen Mai
2022 — conf
SpaceNet 8 - The Detection of Flooded Roads and Buildings.
CVPR Workshops
Ronny Hänsch, Jacob Arndt, Dalton D. Lunga, Matthew Gibb, Tyler Pedelose, Arnold P. Boedihardjo, Desiree Petrie, Todd M. Bacastow
2021 — conf
Computer-aided Abnormality Detection in Chest Radiographs in a Clinical Setting via Domain-adaptation.
BIOIMAGING
Abhishek Kumar Dubey, Michael T. Young, Christopher B. Stanley, Dalton D. Lunga, Jacob D. Hinkle
2021 A* conf
Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning.
KDD
Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Elizabeth Bondi
2021 — conf
Distributed Training for High Resolution Images: A Domain and Spatial Decomposition Approach.
RSDHA@SC
Aristeidis Tsaris, Jacob D. Hinkle, Dalton D. Lunga, Philipe Ambrozio Dias
2021 — conf
FAIR Interfaces for Geospatial Scientific Data Searches.
GeoSearch@SIGSPATIAL
Ranjeet Devarakonda, Kavya Guntupally, Michele Thornton, Yaxing Wei, Debjani Singh, Dalton D. Lunga
2021 J jnl
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research.
ACM SIGSPATIAL Special
Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiu-Han Lexie Yang, Xueqing Deng
2021 — ed.
GeoAI@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, Beijing, China, November 2, 2021
GeoAI@SIGSPATIAL
Dalton D. Lunga, Hsiuhan Lexie Yang, Song Gao, Bruno Martins, Yingjie Hu, Xueqing Deng, Shawn D. Newsam
2021 — ed.
GeoSearch'21: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, Virtual Event / Beijing, China, 2 November 2021
GeoSearch@SIGSPATIAL
Gabriele Cavallaro, Dora B. Heras, Dalton D. Lunga, Martin Werner, Andreas Züfle
2021 J jnl
Large-Scale Classification of Urban Structural Units From Remote Sensing Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Jacob Arndt, Dalton D. Lunga
2021 J jnl
Proceedings of KDD 2020 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning.
CoRR
Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Yu-Ru Lin
2021 J jnl
Proceedings of KDD 2021 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning.
CoRR
Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Elizabeth Bondi
2021 J jnl
ReSFlow: A Remote Sensing Imagery Data-Flow for Improved Model Generalization.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Dalton D. Lunga, Jacob Arndt, Jonathan Gerrand, Robert N. Stewart
2020 J jnl
Accounting for Training Data Error in Machine Learning Applied to Earth Observations.
Remote. Sens.
Arthur Elmes, Seyed Hamed Alemohammad, Ryan Avery, Kelly K. Caylor, J. Ronald Eastman, Lewis Fishgold, Mark A. Friedl, Meha Jain, Divyani Kohli, Juan Carlos Laso Bayas, Dalton D. Lunga, Jessica L. McCarty, Robert Gilmore Pontius Jr., Andrew B. Reinmann, John Rogan, Lei Song, Hristiana Stoynova, Su Ye, Zhuang-Fang Yi, Lyndon D. Estes
2020 J jnl
Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Dalton D. Lunga, Jonathan Gerrand, Hsiuhan Lexie Yang, Christopher Layton, Robert N. Stewart
2020 C conf
Automated Openstreetmap Data Alignment for Road Network Mapping.
IGARSS
Tao Liu, Dalton D. Lunga
2020 J jnl
Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation.
CoRR
Abhishek Kumar Dubey, Michael T. Young, Christopher B. Stanley, Dalton D. Lunga, Jacob D. Hinkle
2020 J jnl
Electricity consumption patterns within cities: application of a data-driven settlement characterization method.
Int. J. Digit. Earth
Pranab Kanti Roy Chowdhury, Jeanette E. Weaver, Eric M. Weber, Dalton D. Lunga, St. Thomas M. LeDoux, Amy N. Rose, Budhendra L. Bhaduri
2020 C conf
Sampling Subjective Polygons for Patch-Based Deep Learning Land-Use Classification in Satellite Images.
IGARSS
Jacob Arndt, Dalton D. Lunga
2020 B conf
Toward Large-Scale Image Segmentation on Summit.
ICPP
Sudip K. Seal, Seung-Hwan Lim, Dali Wang, Jacob D. Hinkle, Dalton D. Lunga, Aristeidis Tsaris
2019 J jnl
Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics.
CoRR
Dalton D. Lunga, Jonathan Gerrand, Hsiuhan Lexie Yang, Christopher Layton, Robert N. Stewart
2019 — conf
Evolving Larger Convolutional Layer Kernel Sizes for a Settlement Detection Deep-Learner on Summit.
DLS@SC
Mark Coletti, Dalton D. Lunga, Jeffrey K. Bassett, Amy N. Rose
2019 J jnl
GeoAI 2019 workshop report: The 3nd ACM SIGSPATIAL International Workshop on GeoAI: AI for Geographic Knowledge Discovery: Seattle, WA, USA - November 5, 2019.
ACM SIGSPATIAL Special
Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen
2019 J jnl
GeoAI at ACM SIGSPATIAL: progress, challenges, and future directions.
ACM SIGSPATIAL Special
Yingjie Hu, Song Gao, Dalton D. Lunga, Wenwen Li, Shawn D. Newsam, Budhendra Bhaduri
2019 C conf
Large Scale Unsupervised Domain Adaptation of Segmentation Networks with Adversarial Learning.
IGARSS
Xueqing Deng, Hsiuhan Lexie Yang, Nikhil Makkar, Dalton D. Lunga
2019 C conf
Multiscale Based Characterization and Classification of Urban Land-Use.
IGARSS
Jacob Arndt, Dalton D. Lunga, Jeanette E. Weaver, St. Thomas M. LeDoux, Sarah Tennille
2019 J jnl
Performance analysis and optimization for scalable deployment of deep learning models for country-scale settlement mapping on Titan supercomputer.
Concurr. Comput. Pract. Exp.
Kuldeep R. Kurte, Jibonananda Sanyal, Anne Berres, Dalton D. Lunga, Mark Coletti, Hsiuhan Lexie Yang, Daniel Graves, Benjamin Liebersohn, Amy N. Rose
2019 — ed.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI@SIGSPATIAL 2019, Chicago, IL, USA, November 5, 2019.
GeoAI@SIGSPATIAL
Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen
2019 — conf
Towards Misregistration-Tolerant Change Detection using Deep Learning Techniques with Object-Based Image Analysis.
SIGSPATIAL/GIS
Tao Liu, Hsiuhan Lexie Yang, Dalton D. Lunga
2018 C conf
A Comparison of Machine Learning Techniques to Extract Human Settlements from High Resolution Imagery.
IGARSS
Jeanette E. Weaver, Brian Moore, Andrew Reith, Jacob J. McKee, Dalton D. Lunga
2018 J jnl
Building Extraction at Scale Using Convolutional Neural Network: Mapping of the United States.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Hsiuhan Lexie Yang, Jiangye Yuan, Dalton D. Lunga, Melanie Laverdiere, Amy N. Rose, Budhendra Bhaduri
2018 J jnl
Building Extraction at Scale using Convolutional Neural Network: Mapping of the United States.
CoRR
Hsiuhan Lexie Yang, Jiangye Yuan, Dalton D. Lunga, Melanie Laverdiere, Amy N. Rose, Budhendra L. Bhaduri
2018 J jnl
Domain-Adapted Convolutional Networks for Satellite Image Classification: A Large-Scale Interactive Learning Workflow.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Dalton D. Lunga, Hsiuhan Lexie Yang, Andrew Reith, Jeanette E. Weaver, Jiangye Yuan, Budhendra L. Bhaduri
2018 J jnl
GeoAI 2018 workshop report the 2nd ACM SIGSPATIAL international workshop on GeoAI: AI for geographic knowledge discovery seattle, WA, USA - November 6, 2018.
ACM SIGSPATIAL Special
Yingjie Hu, Song Gao, Shawn D. Newsam, Dalton D. Lunga
2018 C conf
Multilevel Semantic Labeling of Mobile Homes from Overhead Imagery.
IGARSS
Dalton D. Lunga, Matthew Seals, Budhendra L. Bhaduri
2018 — ed.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAIi@SIGSPATIAL 2018, Seattle, WA, USA, November 6, 2018
GeoAI@SIGSPATIAL
Yingjie Hu, Song Gao, Shawn D. Newsam, Dalton D. Lunga
2017 J jnl
Exploiting Convolutional Representations for Multiscale Human Settlement Detection.
CoRR
Dalton D. Lunga, Dilip R. Patlolla, Hsiu-Han Lexie Yang, Jeanette E. Weaver, Budhendra L. Bhaduri
2017 C conf
Exploiting convolutional representations for multiscale human settlement detection: Preliminary results.
IGARSS
Dalton D. Lunga, Dilip R. Patlolla, Hsiuhan Lexie Yang, Jeanette E. Weaver, Budhendra L. Bhaduri
2017 J jnl
Hashed Binary Search Sampling for Convolutional Network Training with Large Overhead Image Patches.
CoRR
Dalton D. Lunga, Hsiu-Han Lexie Yang, Budhendra L. Bhaduri
2017 C conf
Hashed binary search sampling for convolutional network training with large overhead image patches.
IGARSS
Dalton D. Lunga, Hsiu-Han Lexie Yang, Jiangye Yuan, Budhendra L. Bhaduri
2017 — conf
Paediatric Frontal Chest Radiograph Screening with Fine-Tuned Convolutional Neural Networks.
MIUA
Jonathan Gerrand, Quentin Williams, Dalton D. Lunga, Adam Pantanowitz, Shabir Madhi, Nasreen Mahomed
2017 C conf
Toward country scale building detection with convolutional neural network using aerial images.
IGARSS
Hsiuhan Lexie Yang, Dalton D. Lunga, Jiangye Yuan
2014 J jnl
Manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning.
IEEE Signal Process. Mag.
Dalton D. Lunga, Saurabh Prasad, Melba M. Crawford, Okan K. Ersoy
2014 J jnl
Multidimensional Artificial Field Embedding With Spatial Sensitivity.
IEEE Trans. Geosci. Remote. Sens.
Dalton D. Lunga, Okan K. Ersoy
2014 — conf
Spatial context driven manifold learning for hyperspectral image classification.
WHISPERS
Yuhang Zhang, Hsiuhan Lexie Yang, Dalton D. Lunga, Saurabh Prasad, Melba M. Crawford
2013 C conf
Dynamic hyperspectral embedding with a spatial sensitive graph.
IGARSS
Dalton D. Lunga, Okan K. Ersoy
2013 J jnl
Spherical Stochastic Neighbor Embedding of Hyperspectral Data.
IEEE Trans. Geosci. Remote. Sens.
Dalton D. Lunga, Okan K. Ersoy
2012 J jnl
Nonlinear Dynamic Field Embedding: On Hyperspectral Scene Visualization
CoRR
Dalton D. Lunga, Okan K. Ersoy
2011 J jnl
Generating Similar Graphs From Spherical Features
CoRR
Dalton D. Lunga, Sergey Kirshner
2011 — conf
Kent mixture model for classification of remote sensing data on spherical manifolds.
AIPR
Dalton D. Lunga, Okan K. Ersoy
2011 J jnl
Spherical Classification of Remote Sensing Data.
Trans. Mach. Learn. Data Min.
Dalton D. Lunga, Okan K. Ersoy
2011 — conf
Spherical Nearest Neighbor Classification: Application to Hyperspectral Data.
MLDM
Dalton D. Lunga, Okan K. Ersoy
2011 A* conf
Unsupervised Classification of Hyperspectral Images on Spherical Manifolds.
ICDM
Dalton D. Lunga, Okan K. Ersoy
2006 — conf
Online Forecasting of Stock Market Movement Direction Using the Improved Incremental Algorithm.
ICONIP (3)
Dalton D. Lunga, Tshilidzi Marwala
2006 — conf
Time Series Analysis Using Fractal Theory and Online Ensemble Classifiers.
Australian Conference on Artificial Intelligence
Dalton D. Lunga, Tshilidzi Marwala