A Walk Through Spectral Bands: Using Virtual Reality to Better Visualize Hyperspectral Data (English)
- New search for: Kvinge, Henry
- New search for: Kirby, Michael
- New search for: Peterson, Chris
- New search for: Eitel, Chad
- New search for: Clapp, Tod
- New search for: Kvinge, Henry
- New search for: Kirby, Michael
- New search for: Peterson, Chris
- New search for: Eitel, Chad
- New search for: Clapp, Tod
In:
Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization
2
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160-165
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2019
- Article/Chapter (Book) / Electronic Resource
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Title:A Walk Through Spectral Bands: Using Virtual Reality to Better Visualize Hyperspectral Data
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Contributors:Kvinge, Henry ( author ) / Kirby, Michael ( author ) / Peterson, Chris ( author ) / Eitel, Chad ( author ) / Clapp, Tod ( author )
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Published in:Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization , 2 ; 160-165Advances in Intelligent Systems and Computing ; 976, 2 ; 160-165
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Publisher:
- New search for: Springer International Publishing
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Place of publication:Cham
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Publication date:2019-04-28
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Size:6 pages
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ISBN:
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ISSN:
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DOI:
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Type of media:Article/Chapter (Book)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 3
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Look and Feel What and How Recurrent Self-Organizing Maps LearnFix, Jérémy / Frezza-Buet, Hervé et al. | 2019
- 13
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Self-Organizing Mappings on the Flag ManifoldMa, Xiaofeng / Kirby, Michael / Peterson, Chris et al. | 2019
- 23
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Self-Organizing Maps with Convolutional LayersElend, Lars / Kramer, Oliver et al. | 2019
- 33
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Cellular Self-Organising Maps - CSOMGirau, Bernard / Upegui, Andres et al. | 2019
- 44
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A Probabilistic Method for Pruning CADJ Graphs with Applications to SOM ClusteringTaylor, Josh / Merényi, Erzsébet et al. | 2019
- 57
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SOM-Based Anomaly Detection and Localization for Space SubsystemsRosengarten, Maia / Ramachandran, Sowmya et al. | 2019
- 70
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Self-Organizing Maps in Earth Observation Data Cubes AnalysisSantos, Lorena / Ferreira, Karine Reis / Picoli, Michelle / Camara, Gilberto et al. | 2019
- 80
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Competencies in Higher Education: A Feature Analysis with Self-Organizing MapsNogales, Alberto / García-Tejedor, Álvaro José / Sanz, Noemy Martín / Dios Alija, Teresa et al. | 2019
- 90
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Using SOM-Based Visualization to Analyze the Financial Performance of Consumer Discretionary FirmsBai, Zefeng / Jain, Nitin / Wang, Ying / Haughton, Dominique et al. | 2019
- 100
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Novelty Detection with Self-Organizing Maps for Autonomous Extraction of Salient Tracking FeaturesBernard, Yann / Hueber, Nicolas / Girau, Bernard et al. | 2019
- 110
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Robust Adaptive SOMs Challenges in a Varied Datasets AnalyticsHameed, Alaa Ali / Ajlouni, Naim / Karlik, Bekir et al. | 2019
- 120
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Detection of Abnormal Flights Using Fickle Instances in SOM MapsCottrell, Marie / Faure, Cynthia / Lacaille, Jérôme / Olteanu, Madalina et al. | 2019
- 130
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LVQ-type Classifiers for Condition Monitoring of Induction Motors: A Performance ComparisonSousa, Diego P. / Barreto, Guilherme A. / Cavalcante, Charles C. / Medeiros, Cláudio M. S. et al. | 2019
- 140
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When Clustering the Multiscalar Fingerprint of the City Reveals Its Segregation PatternsOlteanu, Madalina / Lamirel, Jean-Charles et al. | 2019
- 150
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Using Hierarchical Clustering to Understand Behavior of 3D Printer SensorsKarna, Ashutosh / Gibert, Karina et al. | 2019
- 160
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A Walk Through Spectral Bands: Using Virtual Reality to Better Visualize Hyperspectral DataKvinge, Henry / Kirby, Michael / Peterson, Chris / Eitel, Chad / Clapp, Tod et al. | 2019
- 166
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Incremental Traversability Assessment Learning Using Growing Neural Gas AlgorithmFaigl, Jan / Prágr, Miloš et al. | 2019
- 179
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Investigation of Activation Functions for Generalized Learning Vector QuantizationVillmann, Thomas / Ravichandran, Jensun / Villmann, Andrea / Nebel, David / Kaden, Marika et al. | 2019
- 189
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Robustness of Generalized Learning Vector Quantization Models Against Adversarial AttacksSaralajew, Sascha / Holdijk, Lars / Rees, Maike / Villmann, Thomas et al. | 2019
- 200
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Passive Concept Drift Handling via Momentum Based Robust Soft Learning Vector QuantizationHeusinger, Moritz / Raab, Christoph / Schleif, Frank-Michael et al. | 2019
- 210
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Prototype-Based Classifiers in the Presence of Concept Drift: A Modelling FrameworkBiehl, Michael / Abadi, Fthi / Göpfert, Christina / Hammer, Barbara et al. | 2019
- 225
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Soft Subspace Topological Clustering over Evolving Data StreamAttaoui, Mohammed Oualid / Lebbah, Mustapha / Keskes, Nabil / Azzag, Hanene / Ghesmoune, Mohammed et al. | 2019
- 231
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Solving a Tool-Based Interaction Task Using Deep Reinforcement Learning with Visual AttentionFleer, Sascha / Ritter, Helge et al. | 2019
- 241
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Approximate Linear Dependence as a Design Method for Kernel Prototype-Based ClassifiersCoelho, David N. / Barreto, Guilherme A. et al. | 2019
- 251
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Subspace Quantization on the GrassmannianStiverson, Shannon / Kirby, Michael / Peterson, Chris et al. | 2019
- 261
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Variants of Fuzzy Neural GasGeweniger, Tina / Villmann, Thomas et al. | 2019
- 271
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Autoencoders Covering Space as a Life-Long ClassifierSzadkowski, Rudolf / Drchal, Jan / Faigl, Jan et al. | 2019
- 285
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Progressive Clustering and Characterization of Increasingly Higher Dimensional Datasets with Living Self-organizing MapsJansen, Camden / Mortazavi, Ali et al. | 2019
- 294
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A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRIRiley, Patrick / Olier, Ivan / Rea, Marc / Lisboa, Paulo / Ortega-Martorell, Sandra et al. | 2019
- 304
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Classifying and Grouping Mammography Images into Communities Using Fisher Information Networks to Assist the Diagnosis of Breast CancerSrivastava, Meenal / Olier, Ivan / Riley, Patrick / Lisboa, Paulo / Ortega-Martorell, Sandra et al. | 2019
- 314
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Network Community Cluster-Based Analysis for the Identification of Potential Leukemia Drug TargetsBazaga, Adrián / Vellido, Alfredo et al. | 2019
- 324
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Searching for the Origins of Life – Detecting RNA Life Signatures Using Learning Vector QuantizationVillmann, Thomas / Kaden, Marika / Wasik, Szymon / Kudla, Mateusz / Gutowska, Kaja / Villmann, Andrea / Blazewicz, Jacek et al. | 2019
- 334
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Simultaneous Display of Front and Back Sides of Spherical SOM for Health Data AnalysisGen, Niina / Heizo, Tokutaka / Masaaki, Ohkita / Nobuhiko, Kasezawa et al. | 2019