Bayesian Inference
Project status: Active
Research Areas
| Artificial Intelligence |
| Computer Vision |
| Machine Learning |
People
| Michael J. Black |
| Matthew Lease |
| Stefan Roth |
Publications
Wood, F., Prabhat, Donoghue, J., and Black, M. Inferring attentional state and kinematics from motor cortical firing rates. In Proceedings of the IEEE Engineering in Medicine and Biology Society Conference (Sept. 2005), pp. 1544-1547. [ pdf ]
Roth, S., and Black, M. Fields of Experts: A framework for learning image priors. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (June 2005), pp. 860-867. [ pdf ]
Roth, S., and Black, M. On the spatial statistics of optical flow. In Proceedings of the International Conference on Computer Vision (ICCV) (2005), pp. 42-49. [ pdf ]
Wu, W., Gao, Y., E., B., Donoghue, J., and Black, M. Bayesian population coding of motor cortical activity using a Kalman Filter. Neural Computation 18 (2005), 80-118. [ pdf ]
Roth, S., Sigal, L., and Black, M. Gibbs likelihoods for Bayesian tracking. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (June 2004), pp. 886-893. [ pdf ]
Wu, W., Black, M., Mumford, D., Gao, Y., Bienenstock, E., and Donoghue, J. Modeling and decoding motor cortical activity using a switching Kalman filter. IEEE Trans. Biomedical Engineering 51, 6 (June 2004), 933-942. [ pdf ]
Yalcin, H., Black, M., and Fablet, R. The dense estimation of motion and appearance in layers. In Proceedings of the IEEE Workshop on Image and Video Registration, Computer Vision and Pattern Recognition (CVPR'04) CDROM (June 2004). [ pdf ]
Shaikhouni, A., Wu, W., Moris, D., Donoghue, J., and Black, M. A direct brain-machine interface for 2D cursor control using a Kalman Filter. Society for Neuroscience (2004).
Scharr, H., Black, M., and Haussecker, H. Image statistics and anisotropic diffusion. In Proceedings of the International Conference on Computer Vision (ICCV) (Oct. 2003), pp. 840-847. [ pdf ]
Wu, W., Black, M., Mumford, D., Gao, Y., Bienenstock, E., and Donoghue, J. A switching Kalman filter model for the motor cortical coding of hand motion. In Proceedings of the IEEE Engineering in Medicine and Biology Society Conference (Sept. 2003), pp. 2083-2086. [ pdf ]
Wu, W., Mumford, D., Black, M., Gao, Y., Bienenstock, E., and Donoghue, J. A Gaussian mixture model for the motor cortical coding of hand motion. Neural Control of Movement (Apr. 2003).
Wu, W., Black, M., Gao, Y., Bienenstock, E., Serruya, M., Shaikhouni, A., and Donoghue, J. Neural decoding of cursor motion using a Kalman filter. In Proceedings of the Conference on Advances in Neural Information Processing Systems 15 (2003), pp. 133-140. [ pdf ]
Wu, W., Black, M., Gao, Y., Bienenstock, E., Serruya, M., and Donoghue, J. Inferring hand motion from multi-cell recordings in motor cortex using a Kalman filter. Society for Neuroscience (2002). [ pdf ]
Ormoneit, D., Sidenbladh, H., Black, M., and Hastie, T. Learning and tracking cyclic human motion. In Proceedings of the Conference on Advances in Neural Information Processing Systems 13 (2001), pp. 894-900. [ pdf ]
Sidenbladh, H., and Black, M. Learning image statistics for Bayesian tracking. In Proceedings of the International Conference on Computer Vision, ICCV-2001 (2001), pp. 709-716. [ pdf ]
Sidenbladh, H., Black, M., and Fleet, D. Stochastic tracking of 3D human figures using 2D image motion. In Proceedings of the European Conference on Computer Vision (June 2000), pp. 702-718. [ pdf ]
Ormoneit, D., Sidenbladh, H., Black, M., and Hastie, T. Stochastic modeling and tracking of human motion. Learning 2000, Apr. 2000.
Sidenbladh, H., De la Torre, F., and Black, M. A framework for modeling the appearance of 3D articulated figures. In Proceedings of the International Conference on Automatic Face and Gesture Recognition (Grenoble, France, Mar. 2000), pp. 368-375. [ pdf ]
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