ONTOLOGICAL APPROACHES TO SENSOR DATA ANALYSIS Sensing Urban Space: from Street View Recognition, Event Inference to Understand Urban Behavior Fan Zhang12, Lezhi Li23, Hui Lin 1 May 30, 2016

Source URL: ncgia.buffalo.edu

ONTOLOGICAL APPROACHES TO SENSOR DATA ANALYSIS Sensing Urban Space: from Street View Recognition, Event Inference to Understand Urban Behavior Fan Zhang12, Lezhi Li23, Hui Lin 1 May 30, 2016

Source URL: www.ncgia.buffalo.edu

Résumé du compte-rendu du Conseil d’Administration du 07 juin 2015 à Lyon 1. Contrat de Fan Hui Fan Hui n’est plus salarié de la FFG depuis le 2 juin (rupture conventionnelle). Il conserve le statut de « pédago

Source URL: ffg.jeudego.org

Special Computer Go insert covering the AlphaGo v Fan Hui match Fan Hui is on the right, Toby Manning centre Photo courtesy of Google DeepMind Number 174

Source URL: britgo.org

• Go software
• Computer Go
• Artificial intelligence
• Go game)
• Gaming
• Game artificial intelligence
• Go
• Machine learning
• AlphaGo
• KGS Go Server
• Fan Hui
• AlphaGo versus Lee Sedol

Sensing Urban Space: from Street View Recognition, Event Inference to Understand Urban Behavior Fan Zhang1, Hui Lin12*, 1The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong 2The Chinese University of

Source URL: ncgia.buffalo.edu

• Computational neuroscience
• Artificial neural networks
• Computer vision
• Deep learning
• Formal sciences
• Convolutional neural network
• Conference on Computer Vision and Pattern Recognition
• Image segmentation
• Urban design
• Artificial intelligence
• Spatial analysis

Sensing Urban Space: from Street View Recognition, Event Inference to Understand Urban Behavior Fan Zhang1, Hui Lin12*, 1The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong 2The Chinese University of

Source URL: www.ncgia.buffalo.edu

Submitted to the Annals of Statistics arXiv: arXiv:CORRECTION TO “STRONG ORACLE OPTIMALITY OF FOLDED CONCAVE PENALIZED ESTIMATION” By Jianqing Fan, Lingzhou Xue and Hui Zou

Source URL: users.stat.umn.edu

GLANCE Visualizes Lexical Phenomena for Language Learning Mei-Hua Chen*, Shih-Ting Huang+, Ting-Hui Kao+, Sun-Wen Chiu+, Tzu-His Yen+ * Department of Foreign Languages and Literature, Hua Fan University, Taipei, Taiwan,

Source URL: nlp.stanford.edu

• Computational linguistics
• Applied linguistics
• Lexical semantics
• Computer graphics
• Corpus linguistics
• Visualization
• Lexical item
• Information graphics
• Collocation
• Linguistics
• Science
• Language education