- CSB - MetaPress - Google - Bing - Yahoo
 | 2013 | |
|---|---|---|
| j3 |      | Yi Wang, Arthur Szlam, Gilad Lerman: Robust Locally Linear Analysis with Applications to Image Denoising and Blind Inpainting. SIAM J. Imaging Sciences 6(1): 526-562 (2013) |
| i7 | | Joan Bruna, Arthur Szlam, Yann LeCun: Learning Stable Group Invariant Representations with Convolutional Networks. CoRR abs/1301.3537 (2013) |
| i6 | | |
| 2012 | ||
| j2 | | Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman: Hybrid Linear Modeling via Local Best-Fit Flats. International Journal of Computer Vision 100(3): 217-240 (2012) |
| c8 | | Jun He, Laura Balzano, Arthur Szlam: Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video. CVPR 2012: 1568-1575 |
| c7 | | Arthur Szlam, Karol Gregor, Yann LeCun: Fast Approximations to Structured Sparse Coding and Applications to Object Classification. ECCV (5) 2012: 200-213 |
| i5 | | Arthur Szlam, Karol Gregor, Yann LeCun: Fast approximations to structured sparse coding and applications to object classification. CoRR abs/1202.6384 (2012) |
| 2011 | ||
| c6 | | Arthur Szlam, Karol Gregor, Yann LeCun: Structured sparse coding via lateral inhibition. NIPS 2011: 1116-1124 |
| 2010 | ||
| c5 | | Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman: Randomized hybrid linear modeling by local best-fit flats. CVPR 2010: 1927-1934 |
| c4 | | Arthur Szlam, Zhaohui Guo, Stanley Osher: A split Bregman method for non-negative sparsity penalized least squares with applications to hyperspectral demixing. ICIP 2010: 1917-1920 |
| c3 | | |
| i4 | | Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman: Randomized hybrid linear modeling by local best-fit flats. CoRR abs/1005.0858 (2010) |
| i3 | | Arthur Szlam, Koray Kavukcuoglu, Yann LeCun: Convolutional Matching Pursuit and Dictionary Training. CoRR abs/1010.0422 (2010) |
| i2 | | Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman: Hybrid Linear Modeling via Local Best-fit Flats. CoRR abs/1010.3460 (2010) |
| 2009 | ||
| j1 | | Vladimir Rokhlin, Arthur Szlam, Mark Tygert: A Randomized Algorithm for Principal Component Analysis. SIAM J. Matrix Analysis Applications 31(3): 1100-1124 (2009) |
| c2 | | |
| c1 | | Nawal Houhou, Xavier Bresson, Arthur Szlam, Tony F. Chan, Jean-Philippe Thiran: Semi-supervised Segmentation Based on Non-local Continuous Min-Cut. SSVM 2009: 112-123 |
| i1 | | Teng Zhang, Arthur Szlam, Gilad Lerman: Median K-flats for hybrid linear modeling with many outliers. CoRR abs/0909.3123 (2009) |
Colors in the list of coauthors
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