A New Approach to Linear Filtering and Prediction Problems
R. E. Kalman low
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Citation edge evidence
- Deep learning in neural networks: An overview→A New Approach to Linear Filtering and Prediction ProblemsLegacy edge — source detail unavailable
- ANFIS: adaptive-network-based fuzzy inference system→A New Approach to Linear Filtering and Prediction ProblemsLegacy edge — source detail unavailable
- Unscented Filtering and Nonlinear Estimation→A New Approach to Linear Filtering and Prediction ProblemsLegacy edge — source detail unavailable
- Cubature Kalman Filters→A New Approach to Linear Filtering and Prediction ProblemsLegacy edge — source detail unavailable
- Digital Image Enhancement and Noise Filtering by Use of Local Statistics→A New Approach to Linear Filtering and Prediction ProblemsLegacy edge — source detail unavailable
- Kalman Filtering With Intermittent Observations→A New Approach to Linear Filtering and Prediction ProblemsLegacy edge — source detail unavailable
- Dynamic topic models→A New Approach to Linear Filtering and Prediction ProblemsLegacy edge — source detail unavailable
- Kalman Filtering and Neural Networks→A New Approach to Linear Filtering and Prediction ProblemsLegacy edge — source detail unavailable
- Observing the State of a Linear System→A New Approach to Linear Filtering and Prediction ProblemsLegacy edge — source detail unavailable
- Gaussian filters for nonlinear filtering problems→A New Approach to Linear Filtering and Prediction ProblemsLegacy edge — source detail unavailable
- Stochastic variational inference→A New Approach to Linear Filtering and Prediction ProblemsLegacy edge — source detail unavailable
- Kalman Filtering and Neural Networks→Gaussian filters for nonlinear filtering problemsLegacy edge — source detail unavailable
- Cubature Kalman Filters→Gaussian filters for nonlinear filtering problemsLegacy edge — source detail unavailable
- Cubature Kalman Filters→Unscented Filtering and Nonlinear EstimationLegacy edge — source detail unavailable
- Deep learning in neural networks: An overview→Kalman Filtering and Neural NetworksLegacy edge — source detail unavailable
- Stochastic variational inference→Dynamic topic modelsLegacy edge — source detail unavailable
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Deep learning in neural networks: An overview | 2014 | 18,236 |
| ANFIS: adaptive-network-based fuzzy inference system | 1993 | 16,303 |
| Unscented Filtering and Nonlinear Estimation | 2004 | 6,565 |
| Cubature Kalman Filters | 2009 | 3,382 |
| Digital Image Enhancement and Noise Filtering by Use of Local Statistics | 1980 | 2,718 |
| Kalman Filtering With Intermittent Observations | 2004 | 2,544 |
| Dynamic topic models | 2006 | 2,414 |
| Kalman Filtering and Neural Networks | 2001 | 2,404 |
| Observing the State of a Linear System | 1964 | 1,658 |
| Gaussian filters for nonlinear filtering problems | 2000 | 1,500 |
| Stochastic variational inference | 2013 | 1,480 |
Links
Topics
| Target Tracking and Data Fusion in Sensor Networks | Computer Science |
| Statistical Mechanics and Entropy | Physics and Astronomy |
| Scientific Research and Discoveries | Physics and Astronomy |
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