| Selectivity and robustness of sparse coding networks DM Paiton, CG Frye, SY Lundquist, JD Bowen, R Zarcone, BA Olshausen Journal of vision 20 (12), 10-10, 2020 | 45 | 2020 |
| Sparse encoding of binocular images for depth inference SY Lundquist, DM Paiton, PF Schultz, GT Kenyon 2016 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI …, 2016 | 14 | 2016 |
| Sparse coding on stereo video for object detection SY Lundquist, M Mitchell, GT Kenyon arXiv preprint arXiv:1705.07144, 2017 | 8 | 2017 |
| A deconvolutional competitive algorithm for building sparse hierarchical representations D Paiton, S Lundquist, W Shainin, X Zhang, P Schultz, G Kenyon Proceedings of the 9th EAI International Conference on Bio-inspired …, 2016 | 5 | 2016 |
| Learning to merge: a new tool for interactive mapping RB Porter, S Lundquist, C Ruggiero Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2013 | 5 | 2013 |
| Exploring the Potential of Sparse Coding for Machine Learning SY Lundquist Portland State University, 2020 | 3 | 2020 |
| Human Computation for Object Detection R Vaish, ST Ishikawa, S Lundquist, R Porter, J Davis Tech Report UCSC-SOE-15-03, 2013 | 1 | 2013 |
| Sparse Coding of Stereo Video for Object Detection G Kenyon, M Mitchell, SY Lundquist Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2019 | | 2019 |
| Biologically inspired distributed sensor networks: Collective signal amplification via ultra-low bandwidth spike-based communication SY Lundquist, DM Paiton, BM Nowers, PF Schultz, SP Brumby, ... The 2013 International Joint Conference on Neural Networks (IJCNN), 1-9, 2013 | | 2013 |
