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Mishra Bamdev

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Main Referenced Co-authors
Sepulchre, Rodolphe  (5)
Meyer, Gilles  (3)
Bach, Francis (1)
Bonnabel, Silvere (1)
Karavadi, Adithya Apuroop (1)
Main Referenced Keywords
low-rank (2); distance matrix (1); Dynamics (1); fMRI (1); geometric optimization algorithms (1);
Main Referenced Disciplines
Computer science (4)
Electrical & electronics engineering (1)
Engineering, computing & technology: Multidisciplinary, general & others (1)

Publications (total 6)

The most downloaded
1164 downloads
Mishra, B. (2014). A Riemannian approach to large-scale constrained least-squares with symmetries [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/173257 https://hdl.handle.net/2268/173257

The most cited

38 citations (Scopus®)

Mishra, B., Meyer, G., & Sepulchre, R. (2011). Low-rank optimization for distance matrix completion. In Proceedings of the 50th IEEE Conference on Decision and Control. https://hdl.handle.net/2268/112432

Liegeois, R., Mishra, B., Zorzi, M., & Sepulchre, R. (2015). Sparse plus low-rank autoregressive identification in neuroimaging time series. In Proceedings of CDC 2015.
Peer reviewed

Mishra, B. (2014). A Riemannian approach to large-scale constrained least-squares with symmetries [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/173257

Mishra, B., Meyer, G., Bonnabel, S., & Sepulchre, R. (2012). Fixed-rank matrix factorizations and Riemannian low-rank optimization. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/136921.

Mishra, B., Meyer, G., Bach, F., & Sepulchre, R. (2012). Low-rank optimization with trace norm penalty. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/112300.

Mishra, B., Karavadi, A. A., & Sepulchre, R. (2012). A Riemannian geometry for low-rank matrix completion. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/136920.

Mishra, B., Meyer, G., & Sepulchre, R. (2011). Low-rank optimization for distance matrix completion. In Proceedings of the 50th IEEE Conference on Decision and Control.
Peer reviewed

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