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Arman Melkumyan
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2020 – today
- 2023
- [i7]Raymond Leung, Andrew J. Hill, Arman Melkumyan:
Automation and AI Technology in Surface Mining With a Brief Introduction to Open-Pit Operations in the Pilbara. CoRR abs/2301.09771 (2023) - [i6]Lloyd Windrim, Arman Melkumyan, Richard J. Murphy, Anna Chlingaryan, Raymond Leung:
Unsupervised ore/waste classification on open-cut mine faces using close-range hyperspectral data. CoRR abs/2302.04936 (2023) - [i5]Mehala Balamurali, Arman Melkumyan, John N. Zigman:
Factors Influencing Autonomously Generated 3D Geophysical Spatial Models. CoRR abs/2302.11572 (2023) - 2022
- [j12]Adrian Ball, Katherine L. Silversides, Anna Chlingaryan, Arman Melkumyan:
Creating large scale probabilistic boundaries using Gaussian Processes. Expert Syst. Appl. 199: 116959 (2022) - [j11]Raymond Leung
, Alexander Lowe, Anna Chlingaryan, Arman Melkumyan, John N. Zigman:
Bayesian Surface Warping Approach for Rectifying Geological Boundaries Using Displacement Likelihood and Evidence from Geochemical Assays. ACM Trans. Spatial Algorithms Syst. 8(1): 1-23 (2022) - [i4]Rami N. Khushaba, Arman Melkumyan, Andrew J. Hill:
A Machine Learning Approach for Material Type Logging and Chemical Assaying from Autonomous Measure-While-Drilling (MWD) Data. CoRR abs/2202.02959 (2022) - 2020
- [i3]Raymond Leung
Bayesian Surface Warping Approach For Rectifying Geological Boundaries Using Displacement Likelihood And Evidence From Geochemical Assays. CoRR abs/2005.14427 (2020)
2010 – 2019
- 2019
- [j10]Mehala Balamurali, Katherine L. Silversides
A comparison of t-SNE, SOM and SPADE for identifying material type domains in geological data. Comput. Geosci. 125: 78-89 (2019) - [j9]Lloyd Windrim
Unsupervised Feature-Learning for Hyperspectral Data with Autoencoders. Remote. Sens. 11(7): 864 (2019) - 2018
- [j8]Lloyd Windrim
Pretraining for Hyperspectral Convolutional Neural Network Classification. IEEE Trans. Geosci. Remote. Sens. 56(5): 2798-2810 (2018) - [j7]Lloyd Windrim
A Physics-Based Deep Learning Approach to Shadow Invariant Representations of Hyperspectral Images. IEEE Trans. Image Process. 27(2): 665-677 (2018) - [c17]Sven Schneider, Richard J. Murphy, Arman Melkumyan:
A Probabilistic Framework for Fusing Classifications Derived From Multi-Temporal Hyperspectral Imagery. WHISPERS 2018: 1-5 - 2017
- [c16]Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy:
Hyperspectral CNN Classification with Limited Training Samples. BMVC 2017 - 2016
- [j6]Katherine L. Silversides
A Dynamic Time Warping based covariance function for Gaussian Processes signature identification. Comput. Geosci. 96: 69-76 (2016) - [j5]Tatsumi Uezato, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan:
A Novel Spectral Unmixing Method Incorporating Spectral Variability Within Endmember Classes. IEEE Trans. Geosci. Remote. Sens. 54(5): 2812-2831 (2016) - [j4]Tatsumi Uezato, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan:
A Novel Endmember Bundle Extraction and Clustering Approach for Capturing Spectral Variability Within Endmember Classes. IEEE Trans. Geosci. Remote. Sens. 54(11): 6712-6731 (2016) - [j3]Tatsumi Uezato
Incorporating Spatial Information and Endmember Variability Into Unmixing Analyses to Improve Abundance Estimates. IEEE Trans. Image Process. 25(12): 5563-5575 (2016) - [c15]Lloyd Windrim
Unsupervised feature learning for illumination robustness. ICIP 2016: 4453-4457 - [c14]Katherine L. Silversides
Gaussian Processes Based Fusion of Multiple Data Sources for Automatic Identification of Geological Boundaries in Mining. ICONIP (4) 2016: 294-301 - [c13]Mehala Balamurali
t-SNE Based Visualisation and Clustering of Geological Domain. ICONIP (4) 2016: 565-572 - [i2]Lloyd Windrim, Rishi Ramakrishnan, Arman Melkumyan, Richard J. Murphy:
Hyperspectral CNN Classification with Limited Training Samples. CoRR abs/1611.09007 (2016) - 2015
- [j2]Katherine L. Silversides
Automated recognition of stratigraphic marker shales from geophysical logs in iron ore deposits. Comput. Geosci. 77: 118-125 (2015) - [j1]Richard J. Murphy, Anna Chlingaryan, Arman Melkumyan:
Gaussian Processes for Estimating Wavelength Position of the Ferric Iron Crystal Field Feature at $\sim$ 900 nm From Hyperspectral Imagery Acquired in the Short-Wave Infrared (1002-1355 nm). IEEE Trans. Geosci. Remote. Sens. 53(4): 1907-1920 (2015) - [c12]Tatsumi Uezato, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan:
Spectral curve-based endmember extraction method. WHISPERS 2015: 1-4 - 2014
- [c11]Tatsumi Uezato, Richard J. Murphy, Arman Melkumyan, Anna Chlingaryan, Sven Schneider:
Multiple endmember spectral unmixing within a multi-task framework. IGARSS 2014: 3454-3457 - 2012
- [c10]Sven Schneider, Arman Melkumyan, Richard J. Murphy, Eric Nettleton:
A geological perception system for autonomous mining. ICRA 2012: 2986-2991 - [c9]Shrihari Vasudevan, Arman Melkumyan, Steven Scheding:
Information fusion in multi-task Gaussian process models. MFI 2012: 225-232 - [i1]Shrihari Vasudevan, Arman Melkumyan, Steven Scheding:
Information fusion in multi-task Gaussian processes. CoRR abs/1210.1928 (2012) - 2011
- [c8]Christopher Innes, Eric Nettleton, Arman Melkumyan:
Estimation and tracking of excavated material in mining. FUSION 2011: 1-8 - [c7]Katherine L. Silversides
Detection of geological structure using gamma logs for autonomous mining. ICRA 2011: 1577-1582 - [c6]Sven Schneider, Arman Melkumyan, Richard J. Murphy, Eric Nettleton:
Classification of Hyperspectral Imagery Using GPs and the OAD Covariance Function with Automated Endmember Extraction. ICTAI 2011: 579-584 - [c5]Arman Melkumyan, Fabio Ramos:
Multi-Kernel Gaussian Processes. IJCAI 2011: 1408-1413 - 2010
- [c4]Arman Melkumyan, Richard J. Murphy:
Spectral Domain Noise Suppression in Dual-Sensor Hyperspectral Imagery Using Gaussian Processes. ICONIP (2) 2010: 684-691 - [c3]Sven Schneider, Arman Melkumyan, Richard J. Murphy, Eric Nettleton:
Gaussian Processes with OAD Covariance Function for Hyperspectral Data Classification. ICTAI (1) 2010: 393-400
2000 – 2009
- 2009
- [c2]Arman Melkumyan, Eric Nettleton:
An Observation Angle Dependent Nonstationary Covariance Function for Gaussian Process Regression. ICONIP (1) 2009: 331-339 - [c1]Arman Melkumyan, Fabio Ramos:
A Sparse Covariance Function for Exact Gaussian Process Inference in Large Datasets. IJCAI 2009: 1936-1942
Coauthor Index
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