首页|Recent Studies from Xidian University Add New Data to Computational Intelligence (Sparse Hyperspectral Unmixing With Preference-based Evolutionary Multiobjectiv e Multitasking Optimization)
Recent Studies from Xidian University Add New Data to Computational Intelligence (Sparse Hyperspectral Unmixing With Preference-based Evolutionary Multiobjectiv e Multitasking Optimization)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning - Computational Intelligence. According to news reporting origi nating in Xi’an, People’s Republic of China, by NewsRx journalists, research sta ted, “The traditional sparse unmixing methods based on multiobjective evolutiona ry algorithms (MOEAs) only deal with a single mixed pixel, without considering t he spatial structure relationship between different mixed pixels. In addition, t hese methods suffer from the curse of dimensionality caused by the large number of pixels in hyperspectral image and spectra in library.”
Xi’anPeople’s Republic of ChinaAsiaComputational IntelligenceMachine LearningXidian University
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