Kerem Altun

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Kerem Altun trusts overall

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

  1. R. Golden
  2. Miikka Ermes
  3. Ling Bao
  4. Juha Pärkkä
  5. Chih-Jen Lin
  6. Stephen J. Preece
  7. Bijan Najafi
  8. Zsolt Miklós Kovács-Vajna
  9. Thomas Baltzer Moeslund
  10. A. G. Ramm

Who trusts Kerem Altun overall

  1. Billur Barshan
  2. Neha Dawar
  3. Nasser Kehtarnavaz
  4. Roozbeh Jafari
  5. Oscar D. Lara
  6. Sreenivasan Ramasamy Ramamurthy
  7. Ferhat Attal
  8. Zehua Sun
  9. Murat Cihan Yüksek
  10. Miguel A. Labrador

Papers from Kerem Altun's perspective

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

  1. Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement (Physiological Measurement)
  2. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Multi-sensor Activity Context Detection for Wearable Computing (EUSAI)
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Activity Recognition from User-Annotated Acceleration Data
  9. Classification of basic daily movements using a triaxial accelerometer (Medical and Biological Engineering and Computing)
  10. Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring (IEEE Transactions on Information Technology in Biomedicine)

Their papers