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Publication search results
found 75 matches
- 2024
- Piotr Dulian, Adam Sawicki:
A Random Matrix Model for Random Approximate t-Designs. IEEE Trans. Inf. Theory 70(4): 2637-2654 (2024) - 2023
- Xiaodong Yu, Shahid Zaman, Asad Ullah, Ghulamullah Saeedi, Xiujun Zhang:
Matrix Analysis of Hexagonal Model and Its Applications in Global Mean-First-Passage Time of Random Walks. IEEE Access 11: 10045-10052 (2023) - Tian-Hao Li, Chun-Chun Wang, Li Zhang, Xing Chen:
SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction. Briefings Bioinform. 24(1) (2023) - Pedro H. de Freitas Pimenta, Daniel A. Stariolo:
Finite-Size Relaxational Dynamics of a Spike Random Matrix Spherical Model. Entropy 25(6): 957 (2023) - Xing Gao, Yu Cheng:
Robust Matrix Sensing in the Semi-Random Model. NeurIPS 2023 - Rei Aso, Tatsuya Chuman, Hitoshi Kiya:
A Privacy Preserving Method with a Random Orthogonal Matrix for ConvMixer Models. CoRR abs/2301.03843 (2023) - 2022
- Liyan Song, Shuo Zhou, Haiping Lu:
Direct ICA on data tensor via random matrix modeling. Signal Process. 196: 108508 (2022) - Shidong Wu, Cunqiang Huang, Xu Tian, Junxian Li, Bowen Ren, Gangfei Wang, Lidong Qin, Hengrui Ma:
Power Load Forecasting Method Based on Random Matrix Theory and CNN-LSTM Model. DTPI 2022: 1-6 - Daniel Volya, Prabhat Mishra:
Modeling of Noisy Quantum Circuits using Random Matrix Theory. ICCD 2022: 132-138 - Alexander Wei, Wei Hu, Jacob Steinhardt:
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize. ICML 2022: 23549-23588 - Alexander Wei, Wei Hu, Jacob Steinhardt:
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize. CoRR abs/2203.06176 (2022) - 2021
- Jianrui Hu, Zhanqiang Liu, Jinfu Zhao, Bing Wang, Qinghua Song:
Theoretical Modeling and Analysis of Directional Spectrum Emissivity and Its Pattern for Random Rough Surfaces with a Matrix Method. Symmetry 13(9): 1733 (2021) - Barkin Tuncer, Emre Özkan:
Random Matrix Based Extended Target Tracking With Orientation: A New Model and Inference. IEEE Trans. Signal Process. 69: 1910-1923 (2021) - Nathan Bartlett, Adrian G. Wills:
A Robust Random Matrix Prediction Model for Extended Object Rotations. FUSION 2021: 1-8 - Xiaodong Li, Ning Fu, Liyan Qiao:
Improve the Sensing Matrix Model for Random Demodulation in the Case of Mixer With Non-Ideal Characteristics. I2MTC 2021: 1-5 - 2020
- Xiaolei Li, Wenhua Song, Dazhi Gao, Wei Gao, Haozhong Wang:
Training a U-Net based on a random mode-coupling matrix model to recover acoustic interference striations. CoRR abs/2003.10661 (2020) - Barkin Tuncer, Emre Özkan:
Random Matrix Based Extended Target Tracking with Orientation: A New Model and Inference. CoRR abs/2010.08820 (2020) - 2019
- Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline:
An effective distributed predictive model with Matrix factorization and random forest for Big Data recommendation systems. Expert Syst. Appl. 137: 253-265 (2019) - Karl Granström, Jakob Bramstång:
Bayesian Smoothing for the Extended Object Random Matrix Model. IEEE Trans. Signal Process. 67(14): 3732-3742 (2019) - Victor Solo:
On Random Matrix Theory and Autoregressive Modeling. CDC 2019: 4527-4532 - Katsuya Ito, Akira Kinoshita, Masashi Yoshikawa:
Structural Change Point Detection Using A Large Random Matrix and Sparse Modeling. EDBT/ICDT Workshops 2019 - Karl Granström, Jakob Bramstång:
Bayesian Extended Object Smoothing for the Random Matrix Model. FUSION 2019: 1-8 - 2018
- Yingjie Yan, Gehao Sheng, Robert Caiming Qiu, Xiuchen Jiang:
Big Data Modeling and Analysis for Power Transmission Equipment: A Novel Random Matrix Theoretical Approach. IEEE Access 6: 7148-7156 (2018) - Liusha Yang, Matthew R. McKay, Romain Couillet:
High-Dimensional MVDR Beamforming: Optimized Solutions Based on Spiked Random Matrix Models. IEEE Trans. Signal Process. 66(7): 1933-1947 (2018) - Debapratim Banerjee, Zongming Ma:
Asymptotic normality and analysis of variance of log-likelihood ratios in spiked random matrix models. CoRR abs/1804.00567 (2018) - Tomohiro Hayase:
Cauchy noise loss for stochastic optimization of random matrix models via free deterministic equivalents. CoRR abs/1804.03154 (2018) - Amelia Perry, Alexander S. Wein, Afonso S. Bandeira, Ankur Moitra:
Optimality and Sub-optimality of PCA I: Spiked Random Matrix Models. CoRR abs/1807.00891 (2018) - 2017
- Georgios Alexandridis, Georgios Siolas, Andreas Stafylopatis:
Enhancing social collaborative filtering through the application of non-negative matrix factorization and exponential random graph models. Data Min. Knowl. Discov. 31(4): 1031-1059 (2017) - Gemine Vivone, Karl Granström, Paolo Braca, Peter Willett:
Multiple Sensor Measurement Updates for the Extended Target Tracking Random Matrix Model. IEEE Trans. Aerosp. Electron. Syst. 53(5): 2544-2558 (2017) - David Vázquez-Padín, Fernando Pérez-González, Pedro Comesaña Alfaro:
Random Matrix Theory for Modeling the Eigenvalue Distribution of Images Under Upscaling. TIWDC 2017: 109-124
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