Petar M. Djuric
Artificial Intelligence · 2001–2015
A researcher in the Science corpus: 7 papers; trusts 21 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #7,572 of 35,345 by trust here, #11,750 by citations
- Electrical and Electronic Engineering — 26 citations into it; #11,820 of 16,539 by trust here, #13,553 by citations
- Probabilistic & Bayesian Methods — 21 citations into it
- Aerospace Engineering — 17 citations into it
- Computer Networks and Communications — 14 citations into it; #6,857 of 9,886 by trust here, #5,133 by citations
- Statistics and Probability — 10 citations into it
- Ocean Engineering — 9 citations into it; #1,231 of 3,193 by trust here, #1,422 by citations
- Signal Processing — 9 citations into it; #6,010 of 7,572 by trust here, #7,324 by citations
Whom Petar M. Djuric trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jayesh H. Kotecha
- Jun S. Liu
- Neil J. Gordon
- Arnaud Doucet
- Rong Chen
- Simon Justin Julier
- Dieter Fox
- Naomi S. Altman
- Walter R. Gilks
- Jeffrey K. Uhlmann
Who trusts Petar M. Djuric overall
- Fredrik K. Gustafsson
- Jayesh H. Kotecha
- Tiancheng Li
- Victor Elvira
- Miodrag Bolic
- Hamid Moradkhani
- Adam Bry
- Yik-Chung Wu
- Yuanxin Wu
- Luca Martino
Papers from Petar M. Djuric's perspective
Ordered by how strongly the researchers Petar M. Djuric trusts endorse each paper. Same corpus, a different order for every researcher.
- Novel approach to nonlinear/non-Gaussian Bayesian state estimation
- Sequential Monte Carlo methods for dynamic systems
- Sequential Monte Carlo Methods in Practice
- Following a moving target—Monte Carlo inference for dynamic Bayesian models
- A Tutorial on Particle Filtering and Smoothing: Fifteen years later
- Filtering via Simulation: Auxiliary Particle Filters
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo
Their papers
- Particle filtering (2003) — 547 citations
- Indoor Tracking: Theory, Methods, and Technologies (2015) — 542 citations
- Resampling Methods for Particle Filtering: Classification, implementation, and strategies (2015) — 575 citations
- 14 FROM LINEAR ADAPTIVE FILTERING TO NONLINEAR INFORMATION PROCESSING (2006) — 34 citations
- Resampling algorithms and architectures for distributed particle filters (2005) — 354 citations
- Gaussian sum particle filtering (2003) — 525 citations
- Gaussian particle filtering (2001) — 877 citations