开课单位--首尔国立大学
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Drug-disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data[药物疾病图：利用临床数据通过图神经网络预测药物不良反应信号]
  Kyomin Jung(首尔国立大学) Drug-disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data
热度：40

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Unsupervised Detection and Segmentation of Identical Objects[同一目标的无监督检测与分割]
   Minsu Cho(首尔国立大学) We address an unsupervised object detection and segmentation problem that goes beyond the conventional assumptions of one-to-one object correspondence...
热度：50

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Bilateral Symmetry Detection via Symmetry-Growing[对称性增长的双侧对称性检测]
  Minsu Cho(首尔国立大学)
热度：18

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Learning Full Pairwise Affinities for Spectral Segmentation[学习全成对的光谱分割的亲和力]
  Tae Hoon Kim(首尔国立大学) This paper studies the problem of learning a full range of pairwise affinities gained by integrating local grouping cues for spectral segmentation. Th...
热度：68

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Fluid dynamics models for low rank discriminant analysis[低阶判别分析的流体动力学模型]
  Yung-Kyun Noh(首尔国立大学) We consider the problem of reducing the dimensionality of labeled data for classification. Unfortunately, the optimal approach of finding the low-dime...
热度：39

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Visual Tracking Decomposition[视觉跟踪分解]
  Junseok Kwon(首尔国立大学) We propose a novel tracking algorithm that can work robustly in a challenging scenario such that several kinds of appearance and motion changes of an ...
热度：83
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