Arthur Szlam, PhD

Mathematics City College of New York, New York, NY, United States 
learning, vision
"Arthur Szlam"
Mean distance: 16.81 (cluster 17)
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Li H, Linderman GC, Szlam A, et al. (2017) Algorithm 971: An Implementation of a Randomized Algorithm for Principal Component Analysis. Acm Transactions On Mathematical Software. Association For Computing Machinery. 43
Tygert M, Bruna J, Chintala S, et al. (2016) A Mathematical Motivation for Complex-Valued Convolutional Networks. Neural Computation. 1-11
Guzzetta NA, Szlam F, Kiser AS, et al. (2014) Augmentation of thrombin generation in neonates undergoing cardiopulmonary bypass. British Journal of Anaesthesia. 112: 319-27
He Y, Kavukcuoglu K, Wang Y, et al. (2014) Unsupervised feature learning by Deep Sparse Coding Siam International Conference On Data Mining 2014, Sdm 2014. 2: 902-910
Wang Y, Szlam A. (2014) K-mappings and Regression trees Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 2937-2941
Poling B, Lerman G, Szlam A. (2014) Better feature tracking through subspace constraints Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 3454-3461
Bresson X, Tai XC, Chan TF, et al. (2014) Multi-class transductive learning based on ℓ1 Relaxations of Cheeger Cut and Mumford-Shah-Potts Model Journal of Mathematical Imaging and Vision. 49: 191-201
Bruna J, Szlam A, Lecun Y. (2014) Signal recovery from pooling representations 31st International Conference On Machine Learning, Icml 2014. 2: 1585-1598
Wang Y, Szlam A, Lerman G. (2013) Robust locally linear analysis with applications to image denoising and blind inpainting Siam Journal On Imaging Sciences. 6: 526-562
Balzano L, Szlam A, Recht B, et al. (2012) K-subspaces with missing data 2012 Ieee Statistical Signal Processing Workshop, Ssp 2012. 612-615
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