Gribonval, Remi, Chatalic, Antoine, Keriven, Nicolas, Schellekens, Vincent, Jacques, Laurent, and Schniter, Philip. Sketching Data Sets for Large-Scale Learning: Keeping only what you need. Retrieved from https://par.nsf.gov/biblio/10338589. IEEE Signal Processing Magazine 38.5 Web. doi:10.1109/MSP.2021.3092574.

Gribonval, Remi, Chatalic, Antoine, Keriven, Nicolas, Schellekens, Vincent, Jacques, Laurent, & Schniter, Philip. Sketching Data Sets for Large-Scale Learning: Keeping only what you need. IEEE Signal Processing Magazine, 38 (5). Retrieved from https://par.nsf.gov/biblio/10338589. https://doi.org/10.1109/MSP.2021.3092574

Gribonval, Remi, Chatalic, Antoine, Keriven, Nicolas, Schellekens, Vincent, Jacques, Laurent, and Schniter, Philip. "Sketching Data Sets for Large-Scale Learning: Keeping only what you need". IEEE Signal Processing Magazine 38 (5). Country unknown/Code not available. https://doi.org/10.1109/MSP.2021.3092574. https://par.nsf.gov/biblio/10338589.

@article{osti_10338589,
place = {Country unknown/Code not available}, title = {Sketching Data Sets for Large-Scale Learning: Keeping only what you need}, url = {https://par.nsf.gov/biblio/10338589}, DOI = {10.1109/MSP.2021.3092574}, abstractNote = {}, journal = {IEEE Signal Processing Magazine}, volume = {38}, number = {5}, author = {Gribonval, Remi and Chatalic, Antoine and Keriven, Nicolas and Schellekens, Vincent and Jacques, Laurent and Schniter, Philip}, }