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Publication search results
found 443 matches
- 2024
- Jie Liu, Zifeng Ye, Kun Chen, Panpan Zhang:
Variational Bayesian inference for bipartite mixed-membership stochastic block model with applications to collaborative filtering. Comput. Stat. Data Anal. 189: 107836 (2024) - Takahiro Onizuka, Fumiya Iwashige, Shintaro Hashimoto:
Bayesian boundary trend filtering. Comput. Stat. Data Anal. 191: 107889 (2024) - Baojian Yang, Huaiguang Wang, Zhiyong Shi:
Variational Bayesian and generalized maximum-likelihood based adaptive robust nonlinear filtering framework. Signal Process. 215: 109271 (2024) - Josue Casco-Rodriguez, Caleb Kemere, Richard G. Baraniuk:
[Re] The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Non-Gaussian Observation Models. CoRR abs/2401.14429 (2024) - Peng Gao, Shi-Min Li, Feng Gao, Fei Wang, Ru-Yue Yuan, Hamido Fujita:
In Defense and Revival of Bayesian Filtering for Thermal Infrared Object Tracking. CoRR abs/2402.17098 (2024) - 2023
- Dilranjan S. Wickramasuriya, Saman Khazaei, Roozbeh Kiani, Rose T. Faghih:
A Bayesian Filtering Approach for Tracking Sympathetic Arousal and Cortisol-Related Energy From Marked Point Process and Continuous-Valued Observations. IEEE Access 11: 137204-137247 (2023) - Guangyu Wu, Anders Lindquist:
Non-Gaussian Bayesian filtering by density parametrization using power moments. Autom. 153: 111061 (2023) - Guo Li, Shesheng Gao, Juan Xia, Jiahui Yang, Zhaohui Gao:
Distributed variational Bayesian adaptive filtering for randomly delayed measurements and unknown noise statistics in multi-sensor networked systems. Digit. Signal Process. 139: 104077 (2023) - Adrian N. Bishop, Pierre Del Moral:
Robust Kalman and Bayesian Set-Valued Filtering and Model Validation for Linear Stochastic Systems. SIAM/ASA J. Uncertain. Quantification 11(2): 389-425 (2023) - Michael C. Burkhart:
Discriminative Bayesian filtering lends momentum to the stochastic Newton method for minimizing log-convex functions. Optim. Lett. 17(3): 657-673 (2023) - Arturo Del Castillo Bernal, Philippe Decoste, James Richard Forbes:
Bayesian Filtering for Homography Estimation. IEEE Robotics Autom. Lett. 8(12): 8216-8223 (2023) - Xiaoxu Lv, Peihu Duan, Zhisheng Duan, Guanrong Chen, Ling Shi:
Stochastic Event-Triggered Variational Bayesian Filtering. IEEE Trans. Autom. Control. 68(7): 4321-4328 (2023) - Jie Zhang, Xusheng Yang, Wen-an Zhang:
A Progressive Bayesian Filtering Framework for Nonlinear Systems With Heavy-Tailed Noises. IEEE Trans. Autom. Control. 68(3): 1918-1925 (2023) - Gunner S. Fritsch, Kyle J. DeMars:
Robust Nonlinear Filtering: A Non-Bayesian Approach. IEEE Trans. Aerosp. Electron. Syst. 59(5): 5487-5502 (2023) - Guddu Kumar, Venu Gopal Yamalakonda, R. Swaminathan, Abhinoy Kumar Singh:
Fractionally Delayed Bayesian Approximation Filtering Under Non-Gaussian Noisy Environment. IEEE Trans. Aerosp. Electron. Syst. 59(5): 5823-5834 (2023) - Dan Li, Yang Yi Xiong, An Ran Fang, Jian Qiu Zhang:
GSM Filter: A Learning Model of Measurement Noise Distributions for Bayesian Filtering. IEEE Trans. Aerosp. Electron. Syst. 59(5): 6387-6404 (2023) - Vahid Nosrati, Mohsen Rahmani, Alireza Jolfaei, Sattar Seifollahi:
A Weak-Region Enhanced Bayesian Classification for Spam Content-Based Filtering. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(3): 72:1-72:18 (2023) - Ercheng Pei, Yong Zhao, Meshia Cédric Oveneke, Dongmei Jiang, Hichem Sahli:
A Bayesian Filtering Framework for Continuous Affect Recognition From Facial Images. IEEE Trans. Multim. 25: 3709-3722 (2023) - Fangfei Li, Yang Tang:
Multi-Sensor Fusion Boolean Bayesian Filtering for Stochastic Boolean Networks. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7114-7124 (2023) - Yi Lu, Ossi Kaltiokallio, Mike Koivisto, Jukka Talvitie, Elena Simona Lohan, Henk Wymeersch, Mikko Valkama:
Bayesian Filtering for Joint Multi-User Positioning, Synchronization and Anchor State Calibration. IEEE Trans. Veh. Technol. 72(8): 10949-10964 (2023) - Keisuke Takazawa, Hirokazu Kameoka, Masahiro Yukawa:
Multiple Sound Source Tracking Based on Generative Modeling and Recursive Bayesian Filtering of Spatial Gradient Spectra. APSIPA ASC 2023: 2019-2023 - David Martínez Galicia, Alejandro Guerra-Hernández, Xavier Limón, Nicandro Cruz-Ramírez, Francisco Grimaldo:
A Bayesian Network Framework to Study Class Noise: Exploring the Filtering of Completely Random Noise. CCIA 2023: 128-131 - Arturo Del Castillo Bernal, Philippe Decoste, James Richard Forbes:
Bayesian Filtering for Homography Estimation. CoRR abs/2310.10612 (2023) - 2022
- Théophile Champion, Marek Grzes, Howard Bowman:
Branching Time Active Inference with Bayesian Filtering. Neural Comput. 34(10): 2132-2144 (2022) - Trent Weiss, Madhur Behl:
This is the Way: Differential Bayesian Filtering for Agile Trajectory Synthesis. IEEE Robotics Autom. Lett. 7(4): 10414-10421 (2022) - Nicola Forti, Leonardo Maria Millefiori, Paolo Braca, Peter Willett:
Bayesian Filtering for Dynamic Anomaly Detection and Tracking. IEEE Trans. Aerosp. Electron. Syst. 58(3): 1528-1544 (2022) - Abhinoy Kumar Singh, Sumit Kumar, Nagendra Kumar, Rahul Radhakrishnan:
Bayesian Approximation Filtering With False Data Attack on Network. IEEE Trans. Aerosp. Electron. Syst. 58(2): 976-988 (2022) - Charul Paliwal, Uttkarsha Bhatt, Pravesh Biyani, Ketan Rajawat:
Traffic Estimation and Prediction via Online Variational Bayesian Subspace Filtering. IEEE Trans. Intell. Transp. Syst. 23(5): 4674-4684 (2022) - Aamir Hussain Chughtai, Arslan Majal, Muhammad Tahir, Momin Uppal:
Variational-Based Nonlinear Bayesian Filtering With Biased Observations. IEEE Trans. Signal Process. 70: 5295-5307 (2022) - Niladri Das, Jed A. Duersch, Tommie A. Catanach:
Variational Kalman Filtering with H∞-Based Correction for Robust Bayesian Learning in High Dimensions. CDC 2022: 7522-7528
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