References in zbMATH (referenced in 34 articles )

Showing results 1 to 20 of 34.
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  1. Agapiou, Sergios; Dashti, Masoumeh; Helin, Tapio: Rates of contraction of posterior distributions based on (p)-exponential priors (2021)
  2. Cai, T. Tony; Zhang, Linjun: A convex optimization approach to high-dimensional sparse quadratic discriminant analysis (2021)
  3. Lv, Didi; Zhang, Xiaoqun: A greedy algorithm for sparse precision matrix approximation (2021)
  4. Xiong, Dan; Chai, Li; Zhang, Jingxin: Sparse system identification in pairs of pulse and Takenaka-Malmquist bases (2020)
  5. Abrahamsen, Dylan; Fornberg, Bengt: Explicit time stepping of PDEs with local refinement in space-time (2019)
  6. Koep, Niklas; Behboodi, Arash; Mathar, Rudolf: An introduction to compressed sensing (2019)
  7. Agapiou, Sergios; Burger, Martin; Dashti, Masoumeh; Helin, Tapio: Sparsity-promoting and edge-preserving maximum \textitaposteriori estimators in non-parametric Bayesian inverse problems (2018)
  8. Kronqvist, Jan; Lundell, Andreas; Westerlund, Tapio: Reformulations for utilizing separability when solving convex MINLP problems (2018)
  9. Tang, Sunli; Fernandez-Granda, Carlos; Lannuzel, Sylvain; Bernstein, Brett; Lattanzi, Riccardo; Cloos, Martijn; Knoll, Florian; Assländer, Jakob: Multicompartment magnetic resonance fingerprinting (2018)
  10. Oktem, Figen S.; Gao, Liang; Kamalabadi, Farzad: Computational spectral and ultrafast imaging via convex optimization (2017)
  11. Wanqing, Song: Sparse optimization of vibration signal by ADMM (2017)
  12. Vaquer, Pablo A.; McClarren, Ryan G.; Ayzman, Yuriy J.: A compressed sensing framework for Monte Carlo transport simulations using random disjoint tallies (2016)
  13. Friedland, Shmuel; Li, Qun; Schonfeld, Dan; Bernal, Edgar A.: Two algorithms for compressed sensing of sparse tensors (2015)
  14. Vidya, L.; Vivekanand, V.; Shyamkumar, U.; Mishra, Deepak: RBF-network based sparse signal recovery algorithm for compressed sensing reconstruction (2015)
  15. Fountoulakis, Kimon; Gondzio, Jacek; Zhlobich, Pavel: Matrix-free interior point method for compressed sensing problems (2014)
  16. Raducanu, Bogdan; Dornaika, Fadi: Embedding new observations via sparse-coding for non-linear manifold learning (2014) ioport
  17. Cai, T. Tony; Li, Hongzhe; Liu, Weidong; Xie, Jichun: Covariate-adjusted precision matrix estimation with an application in genetical genomics (2013)
  18. Kang, Myeongmin; Yun, Sangwoon; Woo, Hyenkyun; Kang, Myungjoo: Accelerated Bregman method for linearly constrained (\ell_1-\ell_2) minimization (2013)
  19. Lu, Zhaosong: Primal-dual first-order methods for a class of cone programming (2013)
  20. Bai, Tianxiang; Li, Y. F.: Robust visual tracking with structured sparse representation appearance model (2012)

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Further publications can be found at: http://users.ece.gatech.edu/justin/l1magic/#papers