Izumi Nitta is an author at Fujitsu (Japan) specializing in data augmentation, machine vision, and computer vision.
Top concepts
EngineeringData ScienceDeep LearningImage AnalysisMachine VisionComputer VisionComputer ScienceMachine LearningData AugmentationPattern Recognition
Publications per year
2019–2019
1
1
Deep Learning-Based Wafer-Map Failure Pattern Recognition Framework
Tsutomu Ishida, Izumi Nitta, Daisuke Fukuda et al. · 2019 · 51 citations
Convolutional Neural Network, Engineering, Machine Learning +17
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