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Publication search results
found 609 matches
- 2024
- Tianle Li, Enguang Zuo, Chen Chen, Cheng Chen, Jie Zhong, Junyi Yan, Xiaoyi Lv:
Gaussian distribution resampling via Chebyshev distance for food computing. Appl. Soft Comput. 150: 111103 (2024) - Dwight Nwaigwe, Lucrezia Carboni, Martial Mermillod, Sophie Achard, Michel Dojat:
Graph-based methods coupled with specific distributional distances for adversarial attack detection. Neural Networks 169: 11-19 (2024) - Zhiyong Lv, Zhengjie Lei, Linfu Xie, Nicola Falco, Cheng Shi, Zhenzhen You:
Novel Distribution Distance Based on Inconsistent Adaptive Region for Change Detection Using Hyperspectral Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - Dan Yang, Xin Peng, Cheng Su, Linlin Li, Zhixing Cao, Weimin Zhong:
Regularized Wasserstein Distance-Based Joint Distribution Adaptation Approach for Fault Detection Under Variable Working Conditions. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - Alberto Castaño, Pablo González, Jaime Alonso González, Juan José del Coz:
Matching Distributions Algorithms Based on the Earth Mover's Distance for Ordinal Quantification. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1050-1061 (2024) - Lucas H. McCabe:
Nonparametric Estimation and Comparison of Distance Distributions from Censored Data. CISS 2024: 1-6 - Michael Scholkemper, Damin Kühn, Gerion Nabbefeld, Simon Musall, Björn Kampa, Michael T. Schaub:
A Wasserstein Graph Distance Based on Distributions of Probabilistic Node Embeddings. CoRR abs/2401.03913 (2024) - Chunxu Cao, Qiang Zhang:
Feature Selection via Maximizing Distances between Class Conditional Distributions. CoRR abs/2401.07488 (2024) - Daniel Paulin, Peter A. Whalley:
Correction to "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations". CoRR abs/2402.08711 (2024) - Ha Manh Bui, Anqi Liu:
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts. CoRR abs/2403.05600 (2024) - Alexander Hepburn, Raúl Santos-Rodriguez, Javier Portilla:
Evaluating Perceptual Distances by Fitting Binomial Distributions to Two-Alternative Forced Choice Data. CoRR abs/2403.10390 (2024) - 2023
- Antonio Candelieri, Andrea Ponti, Ilaria Giordani, Francesco Archetti:
On the use of Wasserstein distance in the distributional analysis of human decision making under uncertainty. Ann. Math. Artif. Intell. 91(2-3): 217-238 (2023) - Anan Tang, Amitava Mukherjee, Ximing Wang:
Distribution-free Phase-II monitoring of high-dimensional industrial processes via origin and modified interpoint distance based algorithms. Comput. Ind. Eng. 179: 109161 (2023) - Thobeka Nombebe, James S. Allison, Leonard Santana, Jaco Visagie:
On Fitting the Lomax Distribution: A Comparison between Minimum Distance Estimators and Other Estimation Techniques. Comput. 11(3): 44 (2023) - Farhad Farokhi:
Distributionally Robust Optimization With Noisy Data for Discrete Uncertainties Using Total Variation Distance. IEEE Control. Syst. Lett. 7: 1494-1499 (2023) - Astghik Hakobyan, Insoon Yang:
Distributionally Robust Differential Dynamic Programming With Wasserstein Distance. IEEE Control. Syst. Lett. 7: 2329-2334 (2023) - Hai Q. Dinh, Bac Trong Nguyen, Hiep L. Thi, Woraphon Yamaka:
On Hamming distance distributions of repeated-root constacyclic codes of length 3ps over Fpm+uFpm. Discret. Math. 346(12): 113593 (2023) - Thang Pham, Steven Senger, The Dung Tran:
Distribution of pinned distance trees in the plane Fp2. Discret. Math. 346(12): 113613 (2023) - Frank Nielsen:
A Simple Approximation Method for the Fisher-Rao Distance between Multivariate Normal Distributions. Entropy 25(4): 654 (2023) - Yoshiyuki Tajima, Tomoki Hamagami:
Ordinal Regression Based on the Distributional Distance for Tabular Data. IEICE Trans. Inf. Syst. 106(3): 357-364 (2023) - Solichah Larasati, Khoirun Ni'amah, Reni Dyah Wahyuningrum, Alfin Hikmaturokhman:
Design of Degree Distribution with Maximum Distance Separable Codes for User Priority. J. Commun. 18(8): 481-488 (2023) - Rui Gao, Anton J. Kleywegt:
Distributionally Robust Stochastic Optimization with Wasserstein Distance. Math. Oper. Res. 48(2): 603-655 (2023) - Kyriakos N. Manganaris, Dimitrios G. Selimis, Fotis I. Lazarakis, Kostas P. Peppas:
Using Burr Type XII distribution for user - Nearest access point distance modelling in finite Poisson networks with edge effect. Phys. Commun. 61: 102172 (2023) - Jonas Christopher Große Sundrup, Katja D. Mombaur:
On the Distribution of Muscle Signals: A Method for Distance-Based Classification of Human Gestures. Sensors 23(17): 7441 (2023) - Kihyun Kim, Insoon Yang:
Distributional Robustness in Minimax Linear Quadratic Control with Wasserstein Distance. SIAM J. Control. Optim. 61(2): 458-483 (2023) - Zhijia Zheng, Mingbo Liu, Zihan Zhang, Jiarui Dong, Min Xie:
Distance-Based Distributionally Robust Optimization for a Preventive Maintenance Schedule in Hydrothermal Power Systems. IEEE Syst. J. 17(4): 5487-5498 (2023) - Weiming Feng, Heng Guo, Mark Jerrum, Jiaheng Wang:
A simple polynomial-time approximation algorithm for the total variation distance between two product distributions. TheoretiCS 2 (2023) - Haining Wang, Yurong Liao, Yang Li, Yuqiang Fang, Shuyan Ni, Yalun Luo, Bitao Jiang:
BDR-Net: Bhattacharyya Distance-Based Distribution Metric Modeling for Rotating Object Detection in Remote Sensing. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - Zhicheng Gao, Jiyou Li:
Improved Error Bounds for the Distance Distribution of Reed-Solomon Codes. IEEE Trans. Inf. Theory 69(6): 3590-3596 (2023) - Chenxi Yang, Zhibo Zhou, Hanyang Zhuang, Chunxiang Wang, Ming Yang:
Global Pose Initialization Based on Gridded Gaussian Distribution With Wasserstein Distance. IEEE Trans. Intell. Transp. Syst. 24(5): 5094-5104 (2023)
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