- Zihan Wang, Ruimin Chen, Mengxuan Liu, Guanfang Dong, Anup Basu:
SPGNet: Spatial Projection Guided 3D Human Pose Estimation in Low Dimensional Space. ICSM 2022: 41-55 - Shuo Chen, Chen Gong, Jun Li, Jian Yang, Gang Niu, Masashi Sugiyama:
Learning Contrastive Embedding in Low-Dimensional Space. NeurIPS 2022 - Juncai He, Richard Tsai, Rachel A. Ward:
Side-effects of Learning from Low Dimensional Data Embedded in an Euclidean Space. CoRR abs/2203.00614 (2022) - Qiucheng Wu, Yifan Jiang, Junru Wu, Kai Wang, Gong Zhang, Humphrey Shi, Zhangyang Wang, Shiyu Chang:
Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN. CoRR abs/2204.12696 (2022) - Zihan Wang, Ruimin Chen, Mengxuan Liu, Guanfang Dong, Anup Basu:
SPGNet: Spatial Projection Guided 3D Human Pose Estimation in Low Dimensional Space. CoRR abs/2206.01867 (2022) - Edo Cohen-Karlik, Itamar Menuhin-Gruman, Nadav Cohen, Raja Giryes, Amir Globerson:
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network. CoRR abs/2210.14064 (2022) - Maike Buchin, Anna Lubiw, Arnaud de Mesmay, Saul Schleimer:
Computation and Reconfiguration in Low-Dimensional Topological Spaces (Dagstuhl Seminar 22062). Dagstuhl Reports 12(2): 17-66 (2022) - 2021
- Thomas Ager:
Disentangling low-dimensional vector space representations of text documents. Cardiff University, UK, 2021 - Yousef Rezaei Tabar, Kaare B. Mikkelsen, Mike Lind Rank, Martin Christian Hemmsen, Preben Kidmose:
Investigation of low dimensional feature spaces for automatic sleep staging. Comput. Methods Programs Biomed. 205: 106091 (2021) - Gary R. W. Greaves, Jeven Syatriadi, Pavlo Yatsyna:
Equiangular Lines in Low Dimensional Euclidean Spaces. Comb. 41(6): 839-872 (2021) - Ramon Casanova, Robert G. Lyday, Mohsen Bahrami, Jonathan H. Burdette, Sean L. Simpson, Paul J. Laurienti:
Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques. Frontiers Neuroinformatics 15: 740143 (2021) - Kimia Peyvandi, Farzin Yaghmaee:
Efficient Image Inpainting Using Dimensional Space Reduction via Adaptive Patch-based Concept and Rank Lowering Technique. Int. J. Artif. Intell. Tools 30(3): 2150014:1-2150014:24 (2021) - Lukas Exl, Norbert J. Mauser, Sebastian Schaffer, Thomas Schrefl, Dieter Suess:
Prediction of magnetization dynamics in a reduced dimensional feature space setting utilizing a low-rank kernel method. J. Comput. Phys. 444: 110586 (2021) - Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Giuseppe Blasi, Leonardo Fazio, Antonio Rampino, Alessandro Bertolino, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman:
A generative-discriminative framework that integrates imaging, genetic, and diagnosis into coupled low dimensional space. NeuroImage 238: 118200 (2021) - Kenneth Chang, Adam M. Smith:
Boosting Exploration of Low-Dimensional Game Spaces with Stale Human Demonstrations. CoG 2021: 1-4 - Jianhe Yuan, Zhihai He:
Consistency-Sensitivity Guided Ensemble Black-Box Adversarial Attacks in Low-Dimensional Spaces. ICCV 2021: 7758-7766 - Nicolò Botteghi, Khaled Alaa, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli:
Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces. IROS 2021: 190-197 - Richard Antonello, Javier S. Turek, Vy Ai Vo, Alexander Huth:
Low-dimensional Structure in the Space of Language Representations is Reflected in Brain Responses. NeurIPS 2021: 8332-8344 - Weiqi Shi, Zeyu Wang, Cyril Soler, Holly E. Rushmeier:
A Low-Dimensional Perceptual Space for Intuitive BRDF Editing. EGSR (DL) 2021: 191-203 - Yair Bartal, Lee-Ad Gottlieb:
Near-linear time approximation schemes for Steiner tree and forest in low-dimensional spaces. STOC 2021: 1028-1041 - Richard Antonello, Javier Turek, Vy A. Vo, Alexander Huth:
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses. CoRR abs/2106.05426 (2021) - Melanie Schmidt, Julian Wargalla:
Coresets for constrained k-median and k-means clustering in low dimensional Euclidean space. CoRR abs/2106.07319 (2021) - Nicolò Botteghi, Khaled Alaa, Mannes Poel, Beril Sirmaçek, Christoph Brune, Abeje Y. Mersha, Stefano Stramigioli:
Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces. CoRR abs/2107.01667 (2021) - Alexander Scheinker:
Adaptive Machine Learning for Time-Varying Systems: Low Dimensional Latent Space Tuning. CoRR abs/2107.06207 (2021) - 2020
- Xiaohong Han, Ping Liu, Li Wang, Dengao Li:
Unsupervised feature selection via graph matrix learning and the low-dimensional space learning for classification. Eng. Appl. Artif. Intell. 87 (2020) - Takehiko Kinoshita, Yoshitaka Watanabe, Mitsuhiro T. Nakao:
Some lower bound estimates for resolvents of a compact operator on an infinite-dimensional Hilbert space. J. Comput. Appl. Math. 369 (2020) - Riccardo Moriconi, Marc Peter Deisenroth, K. S. Sesh Kumar:
High-dimensional Bayesian optimization using low-dimensional feature spaces. Mach. Learn. 109(9-10): 1925-1943 (2020) - Jan Hoinka, Teresa M. Przytycka:
Embedding gene sets in low-dimensional space. Nat. Mach. Intell. 2(7): 367-368 (2020) - Guihong Wan, Crystal Maung, Chenxu Zhang, Haim Schweitzer:
Fast Distance Metrics in Low-dimensional Space for Neighbor Search Problems. ICDM 2020: 1304-1309 - Anik Khan, Kishor Datta Gupta, Deepak Venugopal, Nirman Kumar:
CIDMP: Completely Interpretable Detection of Malaria Parasite in Red Blood Cells using Lower-dimensional Feature Space. IJCNN 2020: 1-8