Estimation and tracking
By M. Kolawole. 2002
453 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/ada8e5d8d72fd1c0dbbd5c42e8d972ea6b7756fa
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Yoshua Bengio
- Ryan P. Adams
- Sergey Levine
- Ruslan Salakhutdinov
- Quoc V. Le
- David M. Blei
- Scott W. Linderman
- Eric P. Xing
In Atomic and Molecular Physics, and Optics
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Trevor Darrell
- Ryan P. Adams
- Jitendra Malik
- Dacheng Tao
- Yoshua Bengio
- Xiaogang Wang
- Ming-Hsuan Yang
Citations in the corpus
- Markovian Models for Sequential Data (2004, background): “See [137] and [16] for a review of such models.”
- Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems (2017, background): “We extend switching linear- Gaussian dynamical systems (SLDS) [Ackerson and Fu, 1970, Chang and Athans, 1978, Hamilton, 1990, Bar-Shalom and Li, 1993, Ghahramani and Hinton, 1996, Murphy, 1998, Fox et al., 2009] by allowing the discrete switches to depend on the continuous latent state and…”
- Kalman filters for non-linear systems: a comparison of performance (2004, methodology): “The extended Kalman filter (EKF) (Gelb et al. 1974, Maybeck 1982, Bar-Shalom and Li 1993, Tanizaki 1996); 2.”