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] Conference Paper
Im DJiwoong, Taylor GW.
2016. Learning a metric for class-conditional KNN.. International Joint Conference on Neural Networks, IJCNN 2016.
Learned-Miller EG, Ahammad P.
2004. Joint MRI bias removal using entropy minimization across images.. Neural Information Processing Systems Conference.
Huang J, Isidori A, Marconi L, Mischiati M, Sontag E, Wonham WM.
2019. Internal models in control, biology and neuroscience.. 2018 IEEE Conference on Decision and Control (CDC).
Li X, Zhou Z, Keller PJ, Zeng H, Liu T, Peng H.
2015. Interactive exemplar-based segmentation toolkit for biomedical image analysis.. International Symposium on Biomedical Imaging.
Scheffer LK.
2018. Insights from Biology: low power circuits in the fruit fly.. International Symposium on Low Power Electronics and Design.
Wolf S, Hamprecht FA, Funke J.
2020. Inpainting Networks Learn to Separate Cells in Microscopy Images. British Machine Vision Conference.
Pais R., Duttaroy A., Wolever J., Dobbs M., Pastalkova E.
2012. Implantable blood pressure monitoring cuff for small laboratory animal.. Microsystems for Measurement and Instrumentation (MAMNA), 2012.
Rodriguez IF, Branson KM, Acuna E, Agosto-Rivera J, Giray T, Megret R.
2018. Honeybee detection and pose estimation using convolutional neural networks.. RFIAP 2018.
Yeo C, Ahammad P, Ramchandran K, Sastry S.
2008. High speed action recognition and localization in compressed domain videos.. IEEE Transactions on Circuits and Systems for Video Technology: Special issue on Video Surveillance.
Pehlevan C, Chklovskii DB.
2014. A Hebbian/Anti-Hebbian network derived from online non-negative matrix factorization can cluster and discover sparse features.. 2014 48th Asilomar Conference on Signals, Systems and Computers2014 48th Asilomar Conference on Signals, Systems and Computers.
Parag T, Elgammal A, Mittal A.
2006. A framework for feature selection for background subtraction.. IEEE Conference on Computer Vision and Pattern Recognition.
Deb D, Jiao Z, Sims RR, Chen ABo-Yuan, Broxton M, Ahrens M, Podgorski K, Turaga SC.
2022. FourierNets enable the design of highly non-local optical encoders for computational imaging. Advances in Neural Information Processing Systems.
Pachitariu M, Steinmetz NA, Kadir SN, Carandini M, Harris KD.
2016. Fast and accurate spike sorting of high-channel count probes with KiloSort.. Neural Information Processing Systems (NIPS 2016).
Pachitariu M, Packer AM, Pettit N, Dalgleish H, Häusser M, Sahani M.
2013. Extracting regions of interest from biological images with convolutional sparse block coding.. Neural Information Processing Systems (NIPS 2013).
Braun L, Dominé C, Fitzgerald J, Saxe A.
2022. Exact learning dynamics of deep linear networks with prior knowledge. Neural Information Processing Systems.
Tschopp F, Martel JNP, Turaga SC, Cook M, Funke J.
2016. Efficient convolutional neural networks for pixelwise classification on heterogeneous hardware systems.. IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro.
Funke J, Andres B, Hamprecht F, Cardona A, Cook M.
2012. Efficient automatic 3D-reconstruction of branching neurons from EM data.. Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on.
Zabalax FA, Card GM, Fontaine EI, Murray RM, Dickinson MH.
2009. Dynamics of escaping flight initiations of Drosophila melanogaster.. 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics.
Kwak IS, Guo J-Z, Hantman A, Branson K, Kriegman D.
2020. Detecting the Starting Frame of Actions in Video. 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).
Scheffer LK.
2012. Design tools for artificial nervous systems.. Design Automation Conference (DAC), 2012 49th ACM/EDAC/IEEE.
Royer LA, Richmond DL, Rother C, Andres B, Kainmueller D.
2016. Convexity shape constraints for image segmentation.. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
Mi L, Xu R, Prakhya S, Lin A, Shavit N, Samuel A, Turaga SC.
2022. Connectome-constrained Latent Variable Model of Whole-Brain Neural Activity. International Conference on Learning Representations.
Jain V, Bollmann B, Richardson M, Berger DR, Helmstaedter MN, Briggman KL, Denk W, Bowden JB, Mendenhall JM, Abraham WC et al..
2010. Boundary learning by optimization with topological constraints.. IEEE Conference on Computer Vision and Pattern Recognition.
Parag T, Porikli F, Elgammal A.
2008. Boosting adaptive linear weak classifiers for online learning and tracking.. IEEE Conference on Computer Vision and Pattern Recognition.