Classification of High Dimensional and Imbalanced Hyperspectral Imagery Data
- 1 January 2011
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC in Lecture Notes in Computer Science
Abstract
No abstract availableKeywords
This publication has 24 references indexed in Scilit:
- The WEKA data mining softwareACM SIGKDD Explorations Newsletter, 2009
- Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and TaxonomyEvolutionary Computation, 2009
- Learning from Imbalanced DataIEEE Transactions on Knowledge and Data Engineering, 2009
- Classifying Remote Sensing Data with Support Vector Machines and Imbalanced Training DataLecture Notes in Computer Science, 2009
- Application of distributed SVM architectures in classifying forest data cover typesComputers and Electronics in Agriculture, 2008
- The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical StudyIEEE International Conference on Data Mining (ICDM), 2006
- Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets LearningLecture Notes in Computer Science, 2005
- Classification of hyperspectral remote sensing images with support vector machinesIEEE Transactions on Geoscience and Remote Sensing, 2004
- Classification of imbalanced remote-sensing data by neural networksPattern Recognition Letters, 1997
- Nearest neighbor pattern classificationIEEE Transactions on Information Theory, 1967