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Lyudmila Mihaylova

Identifiers

  • name variant Lyudmila Mihaylova 0.60 · backfill

Papers (21)

  1. Structural Recurrent Neural Network for Traffic Speed Prediction cs.LG · 2019 · author #3
  2. Comprehensive review of models and methods for inferences in bio-chemical reaction networks q-bio.QM · 2019 · author #3
  3. Uncertainty propagation in neural networks for sparse coding stat.ML · 2018 · author #3
  4. A Capsule Network for Traffic Speed Prediction in Complex Road Networks cs.CV · 2018 · author #4
  5. Spatio-Temporal Structured Sparse Regression with Hierarchical Gaussian Process Priors stat.ML · 2018 · author #3
  6. Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning stat.ML · 2018 · author #4
  7. Compressive Sensing Approaches for Autonomous Object Detection in Video Sequences cs.CV · 2017 · author #3
  8. Structured Sparse Modelling with Hierarchical GP stat.ML · 2017 · author #3
  9. Bayesian Compressive Sensing Approaches for Direction of Arrival Estimation with Mutual Coupling Effects cs.IT · 2017 · author #2
  10. Location and Orientation Optimisation for Spatially Stretched Tripole Arrays Based on Compressive Sensing cs.IT · 2017 · author #2
  11. Learning Methods for Dynamic Topic Modeling in Automated Behaviour Analysis stat.ML · 2016 · author #3
  12. Dynamic Hierarchical Dirichlet Process for Abnormal Behaviour Detection in Video stat.ML · 2016 · author #3
  13. Anomaly detection in video with Bayesian nonparametrics stat.ML · 2016 · author #3
  14. Compressive Sensing Based Design of Sparse Tripole Arrays cs.IT · 2016 · author #3
  15. Autonomous Crowds Tracking with Box Particle Filtering and Convolution Particle Filtering stat.AP · 2016 · author #2
  16. Sequential Markov Chain Monte Carlo for Bayesian Filtering with Massive Data stat.CO · 2015 · author #3
  17. Multi-Target Tracking and Occlusion Handling with Learned Variational Bayesian Clusters and a Social Force Model cs.CV · 2015 · author #3
  18. Sequential Monte Carlo Methods for State and Parameter Estimation in Abruptly Changing Environments stat.CO · 2015 · author #3
  19. A Bayesian Compressed Sensing Kalman Filter for Direction of Arrival Estimation stat.ML · 2015 · author #2
  20. How Can Subsampling Reduce Complexity in Sequential MCMC Methods and Deal with Big Data in Target Tracking? stat.CO · 2015 · author #3
  21. Particle approximations of the score and observed information matrix for parameter estimation in state space models with linear computational cost stat.CO · 2013 · author #3

Mentions

  • 1511.01726 #3 · backfill · confidence 0.70 Lyudmila Mihaylova
  • 1510.02604 #3 · backfill · confidence 0.70 Lyudmila Mihaylova
  • 1509.06290 #2 · backfill · confidence 0.70 Lyudmila Mihaylova
  • 1507.08526 #3 · backfill · confidence 0.70 Lyudmila Mihaylova
  • 1306.0735 #3 · backfill · confidence 0.70 Lyudmila Mihaylova

Frequent Coauthors