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- Cryo-Electron Microscopy
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] Conference Proceedings
Branson K, Belongie S.
2005. Tracking multiple mouse contours (without too many samples).. Computer Vision and Pattern Recognition. :1039-46.
Jain V, Murray JF, Roth F, Turaga S, Zhigulin V, Briggman KL, Helmstaedter MN, Denk W, H Seung S.
2007. Supervised learning of image restoration with convolutional networks.. IEEE 11th International Conference on Computer Vision. 2:1-8.
Tracey BH, Lee NL, Turaga SC.
2004. Statistical clustering applied to adaptive matched field processing. Proceedings of Advanced Sensor Array Processing (ASAP) Workshop, March 2004.
Och FJ, Gildea D, Khudanpur S, Sarkar A, Yamada K, Fraser A, Kumar S, Shen L, Smith D, Eng K et al..
2004. A smorgasbord of features for statistical machine translation.. Human Language Technology and 5th Meeting of the NAACL.
Parag T, Plaza S, Scheffer L.
2014. Small sample learning of superpixel classifiers for EM segmentation.. Medical Image Computing and Computer-Assisted Intervention. 17(Pt 1):389-97.
Verma N, Branson KM.
2015. Sample complexity of learning Mahalanobis distance metrics.. Neural Information Processing Systems Conference. 28
Jain V, Zhigulin V, Seung HSebastian.
2005. Representing part-whole relationships in recurrent neural networks.. Neural Information Processing Systems. 18:563-70.
Yeo C, Ahammad P, Ramchandran K.
2008. Rate-efficient visual correspondences using random projections.. IEEE International Conference on Image Processing.
Yeo C, Ahammad P, Ramchandran K.
2008. A rate-efficient approach for establishing visual correspondences via distributed source coding.. SPIE Visual Communications and Image Processing.
Yeo C, Ahammad P, Zhang H, Ramchandran K.
2009. Rate-constrained distributed distance testing and its applications.. IEEE International Conference on Acoustics, Speech and Signal Processing.
Yeo C, Ahammad P, Zhang H, Ramchandran K.
2009. Rate-constrained distributed distance testing and its applications.. IEEE International Conference on Acoustics, Speech and Signal Processing.
Bickel R, Cleveland H, Barkas J, Belletier N, Stern DL, Davis GK.
2013. Potential Patterning Differences Underlying Oviparous and Viviparous Development in the Pea Aphid. Society for Integrative and Comparative Biology. 53:E247-E247.
Bickel R, Belletier N, Cleveland H, Stern DL, Davis G.
2010. A patterning difference underlying viviparous and oviparous development in the pea aphid. Society for Integrative and Comparative Biology. 50:E205-E205.
Druckmann S, Chklovskii D.
2010. Over-complete representations on recurrent neural networks can support persistent percepts.. Neural Information Processing Systems 23 (NIPS 2010). 23:541-9.
Bria A, Iannello G, Peng H.
2015. An open-source VAA3D plugin for real-time 3D visualization of terabyte-sized volumetric images.. IEEE 12th International Symposium on Biomedical Imaging.
Jain V, H Seung S.
2008. Natural image denoising with convolutional networks.. Neural Information Processing Systems.
Kushwaha M, Amundson I, Volgyesi P, Ahammad P, Simon G, Koutsoukos X, Ledeczi A, Sastry S.
2008. Multi-modal target tracking using heterogeneous sensor networks.. 17th International Conference on Computer Communications and Networks.
Miura T, Kambhampati S, Stern DL.
2000. Morphogenesis and gene expressions in the parthenogenetic embryogenesis of the pea aphid Acyrthosiphon pisum. Seventy-First Annual Meeting of the Zoological Society of Japan . 17:66.
Srinivasan DG, Ano L, Davis GK, Stern DL.
2009. Molecular Basis of Facultative Asexuality in Aphids. Society for Integrative and Comparative Biology. 49:E308-E308.
Aitchison L, Russell L, Packer AM, Yan J, Castonguaye P, Häusser M, Turaga SC.
2017. Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit.. 31st Conference on Neural Information Processing Systems (NIPS 2017).
Turaga SC, Briggman K, Helmstaedter MN, Denk W, Seung S.
2009. Maximin affinity learning of image segmentation. Advances in Neural Information Processing Systems 22 (NIPS 2009). 22
Jain V, Turaga SC, Briggman K, Helmstaedter MN, Denk W, Seung H.S.
2011. Learning to Agglomerate Superpixel Hierarchies. Advances in Neural Information Processing Systems 24 (NIPS 2011). 24
Eyjolfsdottir E, Burgos-Artizzu XP, Branson S, Branson K, Anderson D, Perona P.
2012. Learning animal social behavior from trajectory features.. Workshop on Visual Observation and Analysis of Animal and Insect Behavior.
Ahrens MB, Huys QJM, Paninski L.
2006. Large-scale biophysical parameter estimation in single neurons via constrained linear regression.. Neural Information Processing Systems. 18
Ahammad P, Harmon C, Hammonds AS, Sastry S, Rubin GM.
2005. Joint nonparametric alignment for analyzing spatial gene expression patterns of Drosophila imaginal discs.. IEEE Conference on Computer Vision and Pattern Recognition. 2:755-60.