Samuel Moore
Computer Vision and Pattern Recognition · 2010–2011
A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 43 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 15 citations into it; #4,708 of 21,575 by trust here, #7,249 by citations
- Biomedical Engineering — 10 citations into it; #523 of 10,734 by trust here, #3,269 by citations
Whom Samuel Moore trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Samuel Moore overall
- Gary M. Weiss
- Agata Brajdic
- Sreenivasan Ramasamy Ramamurthy
- Yuqing Chen
- Sebastijan Sprager
- Timo Sztyler
- Ahmet Turan Özdemir
- Davide Anguita
- Akram Bayat
Papers from Samuel Moore's perspective
Ordered by how strongly the researchers Samuel Moore trusts endorse each paper. Same corpus, a different order for every researcher.
- Activity Recognition from User-Annotated Acceleration Data
- Activity Recognition from Accelerometer Data (AAAI Conference on Artificial Intelligence)
- Activity and Location Recognition Using Wearable Sensors (IEEE pervasive computing)
- Identifying users of portable devices from gait pattern with accelerometers (Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.)
- Activity recognition and monitoring using multiple sensors on different body positions (International Conference on Wearable and Implantable Body Sensor Networks)
- Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction (Journal of Artificial Intelligence Research)
- Classification of basic daily movements using a triaxial accelerometer (Medical and Biological Engineering and Computing)
- Real-Time Recognition of Physical Activities and Their Intensities Using Wireless Accelerometers and a Heart Rate Monitor (International Semantic Web Conference)
- Machine Learning Methods for Classifying Human Physical Activity from On-Body Accelerometers (Italian National Conference on Sensors)
- The Mobile Sensing Platform: An Embedded Activity Recognition System (IEEE pervasive computing)
Their papers
- Activity recognition using cell phone accelerometers (2011) — 2,977 citations
- Cell phone-based biometric identification (2010) — 303 citations