开课单位--东京大学
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Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern‑Based Regularization and Visualization[基于模式的正则化和可视化从视网膜厚度估计青光眼视觉敏感性]
  Hiroki Sugiura(东京大学) Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern‑Based Regularization and Visualization
热度：17

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Image Segmentation using Dual Distribution Matching[双分布匹配的图像分割]
  Tatsunori Taniai(东京大学) We propose an image segmentation method that divides an image into foreground and background regions when the approximate color distributions for thes...
热度：43

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Consistency Principle in Biological Dynamical Systems[生物动力系统中的一致性原理]
  Kunihiko Kaneko(东京大学) We propose consistency principle between different levels, to understand a biological system. Three topics are discussed. First, as a result of consis...
热度：34

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Statistical Quality Estimation for General Crowdsourcing Tasks[一般众包任务的统计质量估计]
   Yukino Baba(东京大学) One of the biggest challenges for requesters and platform providers of crowdsourcing is quality control, which is to expect high-quality results from ...
热度：40

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The Standard Model[标准模型]
  Hitoshi Murayama(东京大学) The Standard Model.
热度：35

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Commonality between viscoelastic phase separation and mechanical fracture[粘弹性相分离和机械断裂之间的共同性]
  Hajime Tanaka(东京大学) Phase separation is one of the most fundamental phenomena that create spatially inhomogeneous patterns in materials and nature. It has so far been cla...
热度：35

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Map Building without Localization by Dimensionality Reduction Techniques[没有定位的地图构建降维技术]
  Takehisa Yairi(东京大学) This paper proposes a new map building framework for mobile robot named Localization-Free Mapping by Dimensionality Reduction (LFMDR). In this framewo...
热度：49

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Using Minimum Description Length to make Grammatical Generalizations[用最小描述长度进行语法推广]
  Mike Dowman(东京大学) What should Syntactic Theory Explain? \\ Which sentences are grammatical and which are not or how to transform observed sentences into a grammar.
热度：43

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Measuring the Similarity between Implicit Semantic Relations using Web Search Engines[使用Web搜索引擎测量隐语义关系之间的相似性]
  Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka(东京大学) Measuring the Similarity between Implicit Semantic Relations using Web Search Engines
热度：45

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Topic Models with Power-Law Using Pitman-Yor Process[皮特曼-尤尔用幂律主题模型]
  Issei Sato(东京大学) One important approach for knowledge discovery and data mining is to estimate unobserved variables because latent variables can indicate hidden specif...
热度：374
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