• Publications
• Influence
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Mathematics, Computer Science
• IEEE Transactions on Pattern Analysis and Machine…
• 1 November 1984
We make an analogy between images and statistical mechanics systems. Expand
• 12,173
• 503
• PDF
Neural Networks and the Bias/Variance Dilemma
• Computer Science
• Neural Computation
• 3 January 1992
We present a tutorial on nonparametric inference and its relation to neural networks, and we use the statistical viewpoint to highlight strengths and weaknesses of neural models. Expand
• 3,174
• 104
• PDF
Boundary Detection by Constrained Optimization
• Mathematics, Computer Science
• IEEE Trans. Pattern Anal. Mach. Intell.
• 1 July 1990
A statistical framework is used for finding boundaries and for partitioning scenes into homogeneous regions. Expand
• 561
• 39
• PDF
Nonparametric Maximum Likelihood Estimation by the Method of Sieves
• Mathematics
• 1 June 1982
Maximum likelihood estimation often fails when the parameter takes values in an infinite dimensional space. For example, the maximum likelihood method cannot be applied to the completelyExpand
• 338
• 27
• PDF
Estimators for Stochastic "Unification-Based" Grammars
• Computer Science
• ACL
• 20 June 1999
Log-linear models provide a statistically sound framework for Stochastic "Unification-Based" Grammars (SUBGs) and stochastic versions of other kinds of grammars. Expand
• 227
• 25
• PDF
Diffusions for global optimizations
• Mathematics
• 1 September 1986
We seek a global minimum of $U:[0,1]^n \to R$. The solution to $({d / {dt}})x_t = - \nabla U(x_t )$ will find local minima. The solution to $dx_t = - \nabla U(x_t )dt + \sqrt {2T} dw_t$, where w isExpand
• 292
• 15