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Publication search results
found 787 matches
- 2024
- Yuecai Han, Xudong Zheng:
A deep learning method for pricing high-dimensional American-style options via state-space partition. Comput. Appl. Math. 43(3): 152 (2024) - Jiankai Tu, Huan Liu, Chunguang Li:
Weighted subspace anomaly detection in high-dimensional space. Pattern Recognit. 146: 110056 (2024) - Rui Gong, Ling Wang, Daiyin Zhu:
Three-Dimensional High-Resolution Space-Borne ISAR Imaging With Compact Antenna Configuration for Large Rotational Angle. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 7422-7435 (2024) - Andrey Zhitnikov, Vadim Indelman:
Simplified Continuous High-Dimensional Belief Space Planning With Adaptive Probabilistic Belief-Dependent Constraints. IEEE Trans. Robotics 40: 1684-1705 (2024) - Jiyoung Kim, Kyuhong Shim, Insu Lee, Byonghyo Shim:
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization. AAAI 2024: 2768-2776 - Junqing Jia, Xiaoqing Chi, Xiaoyun Jiang:
Improved uniform error bounds for long-time dynamics of the high-dimensional nonlinear space fractional sine-Gordon equation with weak nonlinearity. CoRR abs/2402.18071 (2024) - 2023
- Shi-Ping Tang, Yu-Mei Huang:
A fast ADI based matrix splitting preconditioning method for the high dimensional space fractional diffusion equations in conservative form. Comput. Math. Appl. 144: 210-220 (2023) - Miguel García-Torres, Roberto Ruiz, Federico Divina:
Evolutionary feature selection on high dimensional data using a search space reduction approach. Eng. Appl. Artif. Intell. 117(Part): 105556 (2023) - Zengyi Li, Yubei Chen, Friedrich T. Sommer:
Learning Energy-Based Models in High-Dimensional Spaces with Multiscale Denoising-Score Matching. Entropy 25(10): 1367 (2023) - Takuya Wada, Hideki Takayasu, Misako Takayasu:
Extraction of Important Factors in a High-Dimensional Data Space: An Application for High-Growth Firms. Entropy 25(3): 488 (2023) - Xingchao Jian, Feng Ji, Wee Peng Tay:
Generalizing Graph Signal Processing: High Dimensional Spaces, Models and Structures. Found. Trends Signal Process. 17(3): 209-290 (2023) - Almushaira Mustafa:
A fast implicit difference scheme for solving high-dimensional time-space fractional nonlinear Schrödinger equation. Int. J. Comput. Math. 100(7): 1419-1438 (2023) - Gengjie Jia, Yu Li, Xue Zhong, Kanix Wang, Milton Pividori, Rabab Alomairy, Aniello Esposito, Hatem Ltaief, Chikashi Terao, Masato Akiyama, Koichi Matsuda, David E. Keyes, Hae Kyung Im, Takashi Gojobori, Yoichiro Kamatani, Michiaki Kubo, Nancy J. Cox, James A. Evans, Xin Gao, Andrey Rzhetsky:
The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci. Nat. Comput. Sci. 3(5): 403-417 (2023) - Gengjie Jia, Yu Li, Xue Zhong, Kanix Wang, Milton Pividori, Rabab Alomairy, Aniello Esposito, Hatem Ltaief, Chikashi Terao, Masato Akiyama, Koichi Matsuda, David E. Keyes, Hae Kyung Im, Takashi Gojobori, Yoichiro Kamatani, Michiaki Kubo, Nancy J. Cox, James A. Evans, Xin Gao, Andrey Rzhetsky:
Author Correction: The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci. Nat. Comput. Sci. 3(7): 658 (2023) - Konstantinos Lampropoulos, Fatemeh Zardbani, Nikos Mamoulis, Panagiotis Karras:
Adaptive Indexing in High-Dimensional Metric Spaces. Proc. VLDB Endow. 16(10): 2525-2537 (2023) - Xi Zhao, Yao Tian, Kai Huang, Bolong Zheng, Xiaofang Zhou:
Towards Efficient Index Construction and Approximate Nearest Neighbor Search in High-Dimensional Spaces. Proc. VLDB Endow. 16(8): 1979-1991 (2023) - Nimish Ukey, Zhengyi Yang, Binghao Li, Guangjian Zhang, Yiheng Hu, Wenjie Zhang:
Survey on Exact kNN Queries over High-Dimensional Data Space. Sensors 23(2): 629 (2023) - Atefeh Goshvarpour, Ateke Goshvarpour:
Novel high-dimensional phase space features for EEG emotion recognition. Signal Image Video Process. 17(2): 417-425 (2023) - Marcell Stippinger, Dávid Hanák, Marcell T. Kurbucz, Gergely Hanczár, Olivér M. Törteli, Zoltán Somogyvári:
BiometricBlender: Ultra-high dimensional, multi-class synthetic data generator to imitate biometric feature space. SoftwareX 22: 101366 (2023) - Feipeng Li, Jinghuai Gao, Zhaoqi Gao, Chuang Li, Qingzhen Wang, Wenbo Sun, Zongben Xu:
Generating Azimuth-Reflection Angle Gathers From Reverse Time Migration Using the High-Dimensional Local Phase Space Approximation of Seismic Wavefields. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - Jian Chen, Yang Zhang, Tingting Lin:
High-Resolution Quasi-Three-Dimensional Transient Electromagnetic Imaging Method for Urban Underground Space Detection. IEEE Trans. Ind. Informatics 19(3): 3039-3046 (2023) - Qiong Wu, Jian Li, Zhenming Liu, Yanhua Li, Mihai Cucuringu:
Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models. AAAI 2023: 10361-10369 - Brahma S. Pavse, Josiah P. Hanna:
Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction. AAAI 2023: 9417-9425 - Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson:
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings. AISTATS 2023: 7021-7039 - Rudy Geelen, Laura Balzano, Karen Willcox:
Learning Latent Representations in High-Dimensional State Spaces Using Polynomial Manifold Constructions. CDC 2023: 4960-4965 - Vincent Cohen-Addad, David Saulpic, Chris Schwiegelshohn:
Deterministic Clustering in High Dimensional Spaces: Sketches and Approximation. FOCS 2023: 1105-1130 - John Wesley Hostetter, Min Chi:
Latent Space Encoding for Interpretable Fuzzy Logic Rules in Continuous and Noisy High-Dimensional Spaces. FUZZ 2023: 1-6 - Naoya Yatsu, Hiroki Shiraishi, Hiroyuki Sato, Keiki Takadama:
Exploring High-dimensional Rules Indirectly via Latent Space Through a Dimensionality Reduction for XCS. GECCO 2023: 606-614 - Itay Buchnik, Damiano Steger, Guy Revach, Ruud J. G. van Sloun, Tirza Routtenberg, Nir Shlezinger:
Learned Kalman Filtering in Latent Space with High-Dimensional Data. ICASSP 2023: 1-5 - A. Stiehl, Martina Flammer, F. Anselstetter, N. Ille, Harald Bornfleth, S. Geißelsöder, Christian Uhl:
Topological Analysis of Low Dimensional Phase Space Trajectories of High Dimensional EEG Signals For Classification of Interictal Epileptiform Discharges. ICASSP Workshops 2023: 1-5
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