首页|Recent Studies from University of California San Diego (UCSD) Add New Data to Support Vector Machines (Support Vector Machine Guided Reproducing Kernel Particle Method for Image-based Modeling of Microstructures)
Recent Studies from University of California San Diego (UCSD) Add New Data to Support Vector Machines (Support Vector Machine Guided Reproducing Kernel Particle Method for Image-based Modeling of Microstructures)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Support Vector Machines. According to news reportingfrom La Jolla, California, by NewsRx journalists, research stated, “This work presents an approach for automating the discretization and approximation procedures in constructing digital representations ofcomposites from micro-CT images featuring intricate microstructures. The proposed method is guidedby the Support Vector Machine (SVM) classification, offering an effective approach for discretizing microstructuralimages.”
La JollaCaliforniaUnited StatesNorth and Central AmericaEmerging TechnologiesMachine LearningSupport Vector MachinesVector MachinesUniversity of California San Diego (UCSD)
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