LOW DIMENSIONAL MANIFOLDS
Experts
- Hongyuan Zha
- Zhenyue Zhang
- Ronen Talmon
- Amit Moscovich
- Amit Singer
- Daniel Carlos Guimarães Pedronette
- Melba M. Crawford
- Alexander P. Kuleshov
- Andrew Lensen
- Mengjie Zhang
- Bing Xue
- Alexander V. Bernstein
- Zhengming Ma
- Marina Meila
- Fadi Dornaika
- José Luis Rojo-Álvarez
- Yong Liu
- Anupam Gupta
- Qian Tao
- Mark A. Davenport
- Feiping Nie
- Boudewijn P. F. Lelieveldt
- Lucas Pascotti Valem
- Joe Kileel
- Jing Wang
- Christian Wachinger
- Emad Fatemizadeh
- Shang-Hong Lai
- Ofer Neiman
- Nathan Zelesko
- Nicolas Duchateau
- Changshui Zhang
- Erik M. Bollt
- Gülsen Taskin Kaya
- Shiming Xiang
- Junping Zhang
- Yuanyuan Wang
- Michael E. Houle
- Jiang Li
Venues
- CoRR
- ISBI
- IEEE Access
- AAAI
- IEEE Trans. Pattern Anal. Mach. Intell.
- AAAI Fall Symposium: Manifold Learning and Its Applications
- IGARSS
- J. Mach. Learn. Res.
- AISTATS
- Int. J. Math. Math. Sci.
- ESANN
- ICIP
- Pattern Recognit.
- NeurIPS
- Medical Image Anal.
- Discret. Comput. Geom.
- IEEE Trans. Image Process.
- Discret. Math.
- Pattern Recognit. Lett.
- Axioms
- NIPS
- IJCNN
- Int. J. Pattern Recognit. Artif. Intell.
- ICPR
- CVPR
- Expert Syst. Appl.
- IEEE Trans. Knowl. Data Eng.
- Symmetry
- ICLR (Poster)
- ICASSP (3)
- Sensors
- ICML
- PAKDD
- ICRA
- Exp. Math.
- Neural Networks
- Neurocomputing
- Knowl. Based Syst.
- CVPR (2)
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