LOW DIMENSIONAL MANIFOLDS
Experts
- Hongyuan Zha
- Zhenyue Zhang
- Ronen Talmon
- Amit Moscovich
- Daniel Carlos Guimarães Pedronette
- Amit Singer
- Melba M. Crawford
- Alexander P. Kuleshov
- Marina Meila
- Fadi Dornaika
- Andrew Lensen
- Mengjie Zhang
- Zhengming Ma
- Alexander V. Bernstein
- Bing Xue
- Ofer Neiman
- Lucas Pascotti Valem
- Qian Tao
- Emad Fatemizadeh
- Michael E. Houle
- Jing Wang
- Nathan Zelesko
- Gülsen Taskin Kaya
- Jiang Li
- Joe Kileel
- José Luis Rojo-Álvarez
- Changshui Zhang
- Boudewijn P. F. Lelieveldt
- Christian Wachinger
- Yong Liu
- Feiping Nie
- Yuanyuan Wang
- Erik M. Bollt
- Shiming Xiang
- Nicolas Duchateau
- Mark A. Davenport
- Anupam Gupta
- Shang-Hong Lai
- Zixia Zhou
Venues
- CoRR
- ISBI
- IEEE Access
- J. Mach. Learn. Res.
- AAAI Fall Symposium: Manifold Learning and Its Applications
- IEEE Trans. Pattern Anal. Mach. Intell.
- IGARSS
- Int. J. Math. Math. Sci.
- AAAI
- AISTATS
- Pattern Recognit.
- ESANN
- ICIP
- IEEE Trans. Image Process.
- Discret. Math.
- CVPR
- Medical Image Anal.
- NeurIPS
- Pattern Recognit. Lett.
- Discret. Comput. Geom.
- Int. J. Pattern Recognit. Artif. Intell.
- Axioms
- NIPS
- ICPR
- Expert Syst. Appl.
- IJCNN
- Symmetry
- Neural Networks
- Exp. Math.
- Sensors
- Knowl. Based Syst.
- ICML
- ICLR (Poster)
- Neurocomputing
- ICRA
- IEEE Trans. Knowl. Data Eng.
- ICASSP (3)
- PAKDD
- SIAM J. Sci. Comput.
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