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An MRF Model-Based Active Learning Framework for the Spectral-Spatial Classification of Hyperspectral Imagery., , , and . J. Sel. Topics Signal Processing, 9 (6): 1074-1088 (2015)Spectral-spatial classification of hyperspectral images with Gaussian process., , , , , and . IGARSS, page 473-476. IEEE, (2016)An active learning method based on Markov random fields for hyperspectral images classification., , , , and . WHISPERS, page 1-4. IEEE, (2015)Towards reliability-aware circuit design in nanoscale FinFET technology: - New-generation aging model and circuit reliability simulator., , , , , , , , , and 2 other author(s). ICCAD, page 780-785. IEEE, (2017)Investigation on NBTI-induced dynamic variability in nanoscale CMOS devices: Modeling, experimental evidence, and impact on circuits., , , , , , , and . Microelectron. Reliab., (2018)Temperature and emissivity separation and mineral mapping based on airborne TASI hyperspectral thermal infrared data., , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2015)Editor's note., , , , and . Sci. China Inf. Sci., 59 (6): 060401:1 (2016)Using Combination of Statistical Models and Multilevel Structural Information for Detecting Urban Areas From a Single Gray-Level Image., and . IEEE Trans. Geosci. Remote. Sens., 45 (5-2): 1469-1482 (2007)A 28 nm 16 Kb Bit-Scalable Charge-Domain Transpose 6T SRAM In-Memory Computing Macro., , , , , and . IEEE Trans. Circuits Syst. I Regul. Pap., 70 (5): 1835-1845 (May 2023)Equiprobability-Based Local Response Surface Method for High-Sigma Yield Estimation With Both High Accuracy and Efficiency., , , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 42 (4): 1346-1350 (April 2023)