Katherine Ellis

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Katherine Ellis trusts overall

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

  1. Hamed Pirsiavash
  2. Koji Yatani

Who trusts Katherine Ellis overall

  1. Chenhao Xu
  2. Taesik Gong

Papers from Katherine Ellis's perspective

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

  1. Activity Recognition from User-Annotated Acceleration Data
  2. Detecting activities of daily living in first-person camera views
  3. Using mobile phones to determine transportation modes (TOSN)
  4. Real-Time Recognition of Physical Activities and Their Intensities Using Wireless Accelerometers and a Heart Rate Monitor (International Semantic Web Conference)
  5. Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine
  6. BodyScope: a wearable acoustic sensor for activity recognition (Ubiquitous Computing)
  7. COSAR: hybrid reasoning for context-aware activity recognition (Personal and Ubiquitous Computing)
  8. Accelerometer-based transportation mode detection on smartphones (ACM International Conference on Embedded Networked Sensor Systems)
  9. The Mobile Sensing Platform: An Embedded Activity Recognition System (IEEE pervasive computing)
  10. StressSense: detecting stress in unconstrained acoustic environments using smartphones (Ubiquitous Computing)

Their papers