Donnie H. Kim

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Donnie H. Kim trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Daniel Ashbrook
  2. Lin Liao
  3. Jeongyeup Paek
  4. Mikkel Baun Kjærgaard
  5. Jong Hee Kang
  6. Quannan Li
  7. Thad Starner
  8. Dieter Fox
  9. Marta C. González
  10. Joongheon Kim

Who trusts Donnie H. Kim overall

  1. Florenc Demrozi
  2. Zengbin Zhang
  3. Graziano Pravadelli

Papers from Donnie H. Kim's perspective

Ordered by how strongly the researchers Donnie H. Kim trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Micro-Blog: sharing and querying content through mobile phones and social participation (ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services)
  2. A framework of energy efficient mobile sensing for automatic user state recognition (ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services)
  3. Location-Aware Information Delivery with ComMotion (HUC)
  4. Project Lachesis: Parsing and Modeling Location Histories (International Conference Geographic Information Science)
  5. Using GPS to learn significant locations and predict movement across multiple users (Personal and Ubiquitous Computing)
  6. EnTracked: energy-efficient robust position tracking for mobile devices (ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services)
  7. Accuracy characterization for metropolitan-scale Wi-Fi localization (ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services)
  8. Towards Mobile Phone Localization without War-Driving (2010 Proceedings IEEE INFOCOM)
  9. Improving energy efficiency of location sensing on smartphones (ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services)
  10. Understanding individual human mobility patterns

Their papers