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Publication search results
found 654 matches
- 2024
- Armin Salimi-Badr:
A data-driven implicit deep adaptive neuro-fuzzy inference system capable of manifold learning for function approximation. Appl. Soft Comput. 155: 111458 (2024) - Hofit Ben-Zion Vardi, Nira Dyn, Nir Sharon:
Hermite subdivision schemes for manifold-valued Hermite data. Comput. Aided Geom. Des. 111: 102342 (2024) - Moritz Herrmann, Daniyal Kazempour, Fabian Scheipl, Peer Kröger:
Enhancing cluster analysis via topological manifold learning. Data Min. Knowl. Discov. 38(3): 840-887 (2024) - Dongdong Cheng, Shushu Liu, Shuyin Xia, Guoyin Wang:
Granular-ball computing-based manifold clustering algorithms for ultra-scalable data. Expert Syst. Appl. 247: 123313 (2024) - Qi Li, Fushun Liu, Peng Li, Bin Wang, Zhenghua Qian, Dianzi Liu:
Acoustic data-driven framework for structural defect reconstruction: a manifold learning perspective. Eng. Comput. 40(4): 2401-2424 (2024) - Elli Heyes:
New Calabi-Yau manifolds from genetic algorithms. Int. J. Data Sci. Math. Sci. 2(1): 39-49 (2024) - Maysam Behmanesh, Peyman Adibi, Jocelyn Chanussot, Sayyed Mohammad Saeed Ehsani:
Cross-modal and multimodal data analysis based on functional mapping of spectral descriptors and manifold regularization. Neurocomputing 598: 128062 (2024) - Huirong Li, Yani Zhou, Pengjun Zhao, Lei Wang, Chengxiang Yu:
Class-driven nonnegative matrix factorization with manifold regularization for data clustering. Neurocomputing 592: 127751 (2024) - Tayyebe Feizi, Mohammad Hossein Moattar, Hamid Tabatabaee:
M2GDL: Multi-manifold guided dictionary learning based oversampling and data validation for highly imbalanced classification problems. Inf. Sci. 682: 121280 (2024) - Suchismit Mahapatra, Varun Chandola:
Learning manifolds from non-stationary streams. J. Big Data 11(1): 42 (2024) - Samuel W. K. Wong, Shihao Yang, S. C. Kou:
magi: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-Constrained Gaussian Processes. J. Stat. Softw. 109(4) (2024) - Theodoulos Rodosthenous, Vahid Shahrezaei, Marina Evangelou:
Multi-view data visualisation via manifold learning. PeerJ Comput. Sci. 10: e1993 (2024) - Hwanwoo Kim, Daniel Sanz-Alonso, Ruiyi Yang:
Optimization on Manifolds via Graph Gaussian Processes. SIAM J. Math. Data Sci. 6(1): 1-25 (2024) - Elisa Negrini, Levon Nurbekyan:
Applications of No-Collision Transportation Maps in Manifold Learning. SIAM J. Math. Data Sci. 6(1): 97-126 (2024) - Maria Sayu Yamamoto, Khadijeh Sadatnejad, Toshihisa Tanaka, Md. Rabiul Islam, Frédéric Dehais, Yuichi Tanaka, Fabien Lotte:
Modeling Complex EEG Data Distribution on the Riemannian Manifold Toward Outlier Detection and Multimodal Classification. IEEE Trans. Biomed. Eng. 71(2): 377-387 (2024) - Zhongju Shang, Yaoguo Dang, Jun Zhu, Haowei Wang, Junjie Wang:
ReShape: A Universal Data Processing Approach for Clustering Inhomogeneous and Weakly Separated Manifold Data. IEEE Trans. Ind. Informatics 20(9): 10901-10911 (2024) - Weiwei Yuan, Xiang Li, Donghai Guan:
Multi-View Attributed Network Embedding Using Manifold Regularization Preserving Non-Negative Matrix Factorization. IEEE Trans. Knowl. Data Eng. 36(6): 2563-2571 (2024) - Naoki Endo, Hiroki Iimori, Chandan Pradhan, Szabolcs Malomsoky, Naoki Ishikawa:
Boosting Spectral Efficiency With Data-Carrying Reference Signals on the Grassmann Manifold. IEEE Trans. Wirel. Commun. 23(8): 10137-10149 (2024) - Sushovan Majhi:
Demystifying Latschev's Theorem: Manifold Reconstruction from Noisy Data. SoCG 2024: 73:1-73:16 - Dilshan Morawaliyadda, Pradeepa Yahampath:
Construction of Fast Data-driven Transforms for Image Compression via Multipath Coordinate Descent on Orthogonal Matrix Manifold. DCC 2024: 452-461 - Alon Y. Halevy, Yuliang Li, Wang-Chiew Tan:
Personal Manifold: Management of Personal Data in the Age of Large Language Models. ICDE 2024: 5523-5529 - Ilya Kaufman, Omri Azencot:
First-Order Manifold Data Augmentation for Regression Learning. ICML 2024 - Jan Stanczuk, Georgios Batzolis, Teo Deveney, Carola-Bibiane Schönlieb:
Diffusion Models Encode the Intrinsic Dimension of Data Manifolds. ICML 2024 - Yinzhu Jin, Matthew B. Dwyer, P. Thomas Fletcher:
Measuring Feature Dependency of Neural Networks by Collapsing Feature Dimensions in The Data Manifold. ISBI 2024: 1-5 - Anis Fradi, Chafik Samir:
A New Framework for Evaluating the Validity and the Performance of Binary Decisions on Manifold-Valued Data. ECML/PKDD (1) 2024: 406-421 - Naoki Endo, Hiroki Iimori, Chandan Pradhan, Szabolcs Malomsoky, Naoki Ishikawa:
Boosting Spectral Efficiency with Data-Carrying Reference Signals on the Grassmann Manifold. CoRR abs/2401.02597 (2024) - Mohammed Bouallala, Franck Dufrenois, Khalide Jbilou, Ahmed Ratnani:
Trace Ratio Based Manifold Learning with Tensor Data. CoRR abs/2402.09072 (2024) - Prasad Cheema, Mahito Sugiyama:
StiefelGen: A Simple, Model Agnostic Approach for Time Series Data Augmentation over Riemannian Manifolds. CoRR abs/2402.19287 (2024) - Keiyu Nosaka, Akiko Yoshise:
Data Collaboration Analysis Over Matrix Manifolds. CoRR abs/2403.02780 (2024) - Anupam Chaudhuri, Anj Simmons, Mohamed Abdelrazek:
Quantifying Manifolds: Do the manifolds learned by Generative Adversarial Networks converge to the real data manifold. CoRR abs/2403.05033 (2024)
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