Ping Ji

Computer Vision and Pattern Recognition · with Su · 2014

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ping Ji trusts overall

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

  1. Matthijs C. Dorst
  2. Paul A. Viola
  3. Jhun-Ying Yang

Papers from Ping Ji's perspective

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

  1. Activity Recognition from Accelerometer Data (AAAI Conference on Artificial Intelligence)
  2. Activity Recognition from Accelerometer Data on a Mobile Phone (International Work-Conference on Artificial and Natural Neural Networks)
  3. Activity recognition using cell phone accelerometers (SKDD)
  4. Rapid object detection using a boosted cascade of simple features
  5. An Activity Recognition System For Mobile Phones (Mob. Networks Appl.)
  6. A Practical Approach to Recognizing Physical Activities (International Conference on Pervasive Computing)
  7. Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers (Pattern Recognition Letters)
  8. A Survey on Human Activity Recognition using Wearable Sensors (IEEE Communications Surveys and Tutorials)
  9. Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine
  10. A Triaxial Accelerometer-Based Physical-Activity Recognition via Augmented-Signal Features and a Hierarchical Recognizer (IEEE Transactions on Information Technology in Biomedicine)

Their papers