首页|Data from Guizhou Education University Advance Knowledge in Support Vector Machi nes (Structured Support Vector Machine With Coarse-to-fine Patchmatch Filtering for Stereo Matching)
Data from Guizhou Education University Advance Knowledge in Support Vector Machi nes (Structured Support Vector Machine With Coarse-to-fine Patchmatch Filtering for Stereo Matching)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Support Vector Machines have been published. According to news originating from Guiyang, People’s Republ ic of China, by NewsRx correspondents, research stated, “In the past decades, a variety of learning-based algorithms have been emerged to try to explore a bette r solution for stereo matching by leveraging various machine learning algorithms . For enriching learning-based stereo matching algorithm’s methodologies, we cas t the disparity estimation as a regression problem by leveraging Structured Supp ort Vector Machine (SSVM) in this paper.” Funders for this research include Guizhou Provincial Science and Technology Proj ects, Guizhou Provincial BasicResearch Program, Science and Technology Program o f GuiYang.
GuiyangPeople’s Republic of ChinaAsi aAlgorithmsEmerging TechnologiesMachine LearningSupport Vector MachinesVector MachinesGuizhou Education University
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