Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Universal fluctuations in a simple disordered system

    Nieuwenhuizen, T. M. & Van Rossum, M., 1991, In : Physics letters a. 160, 5, p. 461 - 464 4 p.

    Research output: Contribution to journalArticle

  2. Unsupervised Monocular Depth Estimation with Left-Right Consistency

    Godard, C., Mac Aodha, O. & Brostow, G. J., 9 Nov 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Institute of Electrical and Electronics Engineers (IEEE), p. 6602-6611 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Unsupervised deduplication using cross-field dependencies

    Hall, R., Sutton, C. & McCallum, A., 2008, Proceedings of the 14th ACM SIGKDD international conference on Knowledge Discovery and Data mining (KDD '08). New York, NY, USA: ACM, p. 310-317 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  4. Unsupervised spike sorting for large scale, high density multielectrode arrays

    Hilgen, G., Sindaci, M. S., Pirmoradian, S., Muthmann, J-O., Kepiro, I., Ullo, S., Juarez Ramirez, C., Encinas, A. P., Maccione, A., Berdondini, L., Murino, V., Sona, D., Cella Zanacchi, F., Sernagor, E. & Hennig, M. H., 7 Mar 2017, In : Cell Reports. 18, 10, p. 2521-2532 12 p.

    Research output: Contribution to journalArticle

  5. Using BRIE to Detect and Analyze Splicing Isoforms in scRNA-Seq Data

    Huang, Y. & Sanguinetti, G., 2019, Computational Methods for Single-Cell Data Analysis. Yuan, G-C. (ed.). New York, NY: Springer New York LLC, p. 175-185 11 p. (Methods in Molecular Biology; vol. 1935).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  6. Using Bayesian neural networks to classify segmented images

    Vivarelli, F. & Williams, C. K. I., 1 Jul 1997, Artificial Neural Networks, Fifth International Conference on (Conf. Publ. No. 440). IET, p. 268-273 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  7. Using Generative Models for Handwritten Digit Recognition

    Revow, M., Williams, C. K. I. & Hinton, G. E., Jun 1996, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 18, 6, p. 592-606 15 p.

    Research output: Contribution to journalArticle

  8. Using Machine Learning to Focus Iterative Optimization

    Agakov, F., Bonilla, E., Cavazos, J., Franke, B., Fursin, G., O'Boyle, M. F. P., Thomson, J., Toussaint, M. & Williams, C. K. I., 2006, Proceedings of the International Symposium on Code Generation and Optimization. Washington, DC, USA: Institute of Electrical and Electronics Engineers (IEEE), p. 295-305 11 p. (CGO '06).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  9. Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains

    Onken, A., Liu, J. K., Karunasekara, P. P. C. R., Delis, I., Gollisch, T. & Panzeri, S., 4 Nov 2016, In : PLoS Computational Biology. 12, 11, p. 1-46 46 p., e1005189.

    Research output: Contribution to journalArticle