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[1] Himadri B Pakrasi,et al. Population-level coordination of pigment response in individual cyanobacterial cells under altered nitrogen levels , 2017, Photosynthesis Research.
[2] Jerilyn A. Timlin,et al. Preprocessing Strategies to Improve MCR Analyses of Hyperspectral Images. , 2012 .
[3] Gang Wang,et al. Deep Learning-Based Classification of Hyperspectral Data , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[4] Jerilyn A. Timlin,et al. Experimental and Data Analytical Approaches to Automating Multivariate Curve Resolution in the Analysis of Hyperspectral Images , 2016 .
[5] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[6] Matthew D. Zeiler. ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.
[7] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[8] David D. Cox,et al. Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures , 2013, ICML.
[9] Shihong Du,et al. Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[10] Kashif Rajpoot,et al. SVM Optimization for Hyperspectral Colon Tissue Cell Classification , 2004, MICCAI.
[11] Jerilyn A. Timlin,et al. Photosynthetic Pigment Localization and Thylakoid Membrane Morphology Are Altered in Synechocystis 6803 Phycobilisome Mutants1[C][W] , 2012, Plant Physiology.
[12] Howland D. T. Jones,et al. Hyperspectral confocal microscope. , 2006, Applied optics.
[13] Hao Wu,et al. An effective feature selection method for hyperspectral image classification based on genetic algorithm and support vector machine , 2011, Knowl. Based Syst..
[14] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[15] Linda T. Nieman,et al. In vivo hyperspectral confocal fluorescence imaging to determine pigment localization and distribution in cyanobacterial cells , 2008, Proceedings of the National Academy of Sciences.