Jorge Luis Reyes-Ortiz
Computer Vision and Pattern Recognition · 2012–2016
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 24 citations into it; #20,873 of 21,575 by trust here, #10,677 by citations
- Biomedical Engineering — 16 citations into it; #10,035 of 10,734 by trust here, #5,210 by citations
- Artificial Intelligence — 8 citations into it
- Signal Processing — 6 citations into it
Whom Jorge Luis Reyes-Ortiz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Platt
- Davide Anguita
- Andrea Mannini
- Jennifer R. Kwapisz
- Daniele Riboni
- Attila Reiss
- S. Sathiya Keerthi
- Erin L. Allwein
- Alessandro Ghio
- Wanmin Wu
Who trusts Jorge Luis Reyes-Ortiz overall
Papers from Jorge Luis Reyes-Ortiz's perspective
Ordered by how strongly the researchers Jorge Luis Reyes-Ortiz trusts endorse each paper. Same corpus, a different order for every researcher.
- Activity Recognition from User-Annotated Acceleration Data
- The Nature of Statistical Learning Theory
- Activity Recognition from Accelerometer Data (AAAI Conference on Artificial Intelligence)
- Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring (IEEE Transactions on Information Technology in Biomedicine)
- Support-Vector Networks
- Activity recognition using cell phone accelerometers (SKDD)
- Machine Learning Methods for Classifying Human Physical Activity from On-Body Accelerometers (Italian National Conference on Sensors)
- Activity Recognition from Accelerometer Data on a Mobile Phone (International Work-Conference on Artificial and Natural Neural Networks)
- Comparison of learning algorithms for handwritten digit recognition
- Recognizing Workshop Activity Using Body Worn Microphones and Accelerometers (International Conference on Pervasive Computing)
Their papers
- Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine (2012) — 982 citations
- Transition-Aware Human Activity Recognition Using Smartphones (2016) — 734 citations
- A Public Domain Dataset for Human Activity Recognition using Smartphones (2013) — 2,591 citations