Learning to Parse Images
暂无分享,去创建一个
[1] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[2] R. Weale. Vision. A Computational Investigation Into the Human Representation and Processing of Visual Information. David Marr , 1983 .
[3] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[4] Geoffrey E. Hinton,et al. TRAFFIC: Recognizing Objects Using Hierarchical Reference Frame Transformations , 1989, NIPS.
[5] Lawrence D. Jackel,et al. Backpropagation Applied to Handwritten Zip Code Recognition , 1989, Neural Computation.
[6] Yann LeCun,et al. Efficient Pattern Recognition Using a New Transformation Distance , 1992, NIPS.
[7] Radford M. Neal. Connectionist Learning of Belief Networks , 1992, Artif. Intell..
[8] Jonathan J. Hull,et al. A Database for Handwritten Text Recognition Research , 1994, IEEE Trans. Pattern Anal. Mach. Intell..
[9] Geoffrey E. Hinton,et al. The Helmholtz Machine , 1995, Neural Computation.
[10] Alan S. Willsky,et al. Likelihood calculation for a class of multiscale stochastic models, with application to texture discrimination , 1995, IEEE Trans. Image Process..
[11] Geoffrey E. Hinton,et al. The "wake-sleep" algorithm for unsupervised neural networks. , 1995, Science.
[12] Brendan J. Frey,et al. Does the Wake-sleep Algorithm Produce Good Density Estimators? , 1995, NIPS.
[13] Paul W. Fieguth,et al. An overlapping tree approach to multiscale stochastic modeling and estimation , 1997, IEEE Trans. Image Process..
[14] Geoffrey E. Hinton,et al. Modeling the manifolds of images of handwritten digits , 1997, IEEE Trans. Neural Networks.
[15] Geoffrey E. Hinton,et al. Using Mixtures of Factor Analyzers for Segmentation and Pose Estimation , 1997 .
[16] Christopher M. Bishop,et al. Mixtures of Probabilistic Principal Component Analyzers , 1999, Neural Computation.
[17] Terrence J. Sejnowski,et al. Unsupervised Learning , 2018, Encyclopedia of GIS.
[18] Michael I. Jordan,et al. Attractor Dynamics in Feedforward Neural Networks , 2000, Neural Computation.