摘要
《机器人与机器学习每日新闻》的一位新闻记者兼新闻编辑——支持向量机的最新研究结果已经发表。据《中国人民共和国贵阳消息》报道，NewsRx记者报道，“在过去的几十年里，各种基于学习的算法被涌现出来，试图利用各种机器学习算法来探索一种更好的立体匹配解决方案。为了丰富基于学习的立体匹配算法的方法学，本文利用结构化支持向量机(SSVM)将视差估计转化为回归问题。本研究的资助者包括贵州省科技项目、贵州省基础研究项目、贵阳科技项目。
Abstract
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.
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