Gaussian Markov Random Fields: Theory And Applications (Monographs on Statistics and Applied Probability)

A Bayesian Approach to Deformed Pattern Matching of Iris Images

IEEE Transactions on Pattern Analysis and Machine Intelligence

Cluster Selection Based on Coupling for Gaussian Mean Fields

ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks

Spatial model fitting for large datasets with applications to climate and microarray problems

Statistics and Computing

Randomized shortest-path problems: Two related models

Neural Computation

A Model-Based Scan Statistics for Detecting Geographical Clustering of Disease

ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I

Computationally efficient spatial interpolators based on spartan spatial random fields

IEEE Transactions on Signal Processing

Incremental distributed identification of Markov random field models in wireless sensor networks

IEEE Transactions on Signal Processing

Improved auxiliary mixture sampling for hierarchical models of non-Gaussian data

Statistics and Computing

Detection of Gauss-Markov random fields with nearest-neighbor dependency

IEEE Transactions on Information Theory

How much information can one get from a wireless ad hoc sensor network over a correlated random field?

IEEE Transactions on Information Theory

A fast Bayesian model for latent radio signal prediction

WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks

Interactive image segmentation using probabilistic hypergraphs

Pattern Recognition

Stochastic super-resolution image reconstruction

Journal of Visual Communication and Image Representation

A method to estimate the graph structure for a large MRF model

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

A novel real time method of signal strength based indoor localization

ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part I

Fast image registration with non-stationary Gauss-Markov random field templates

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing

Bayesian inference for Gaussian excursion set generated Cox processes with set-marking

Statistics and Computing

Approximate Marginals in Latent Gaussian Models

The Journal of Machine Learning Research

Fast simulation of truncated Gaussian distributions

Statistics and Computing

A.E. Gelfand, P.J. Diggle, M. Fuentes, P. Guttorp (eds.): Handbook of spatial statistics

Statistics and Computing

Efficient Bayesian analysis of multiple changepoint models with dependence across segments

Statistics and Computing

Order preserving and shape prior constrained intra-retinal layer segmentation in optical coherence tomography

MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III

A closed form algorithm for superresolution

ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II

Smooth conditional transition paths in dynamical gaussian networks

KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence

On a hybrid data cloning method and its application in generalized linear mixed models

Statistics and Computing

Data mining in inductive databases

KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases

Lifted relational Kalman filtering

IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three

Difference Filter Preconditioning for Large Covariance Matrices

SIAM Journal on Matrix Analysis and Applications

Hierarchical Bayesian autoregressive models for large space–time data with applications to ozone concentration modelling

Applied Stochastic Models in Business and Industry

Compensating motion artifacts of 3d in vivo SD-OCT scans

MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I

Discriminative decorrelation for clustering and classification

ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV

On confidence intervals for semiparametric expectile regression

Statistics and Computing

A monte carlo metropolis-hastings algorithm for sampling from distributions with intractable normalizing constants

Neural Computation

A probabilistic graphical model approach to stochastic multiscale partial differential equations

Journal of Computational Physics

A nonparametric belief propagation method for uncertainty quantification with applications to flow in random porous media

Journal of Computational Physics

High-dimensional Gaussian graphical model selection: walk summability and local separation criterion

The Journal of Machine Learning Research

Iterative numerical methods for sampling from high dimensional Gaussian distributions

Statistics and Computing

Gaussian message propagation in d-order neighborhood for gaussian graphical model

ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I

Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey

Computer Vision and Image Understanding

Objective Bayesian analysis for autoregressive models with nugget effects

Journal of Multivariate Analysis

Scheduling sensors for monitoring sentient spaces using an approximate POMDP policy

Pervasive and Mobile Computing

Multilevel structured additive regression

Statistics and Computing

Parameter estimation in high dimensional Gaussian distributions

Statistics and Computing

Classification of brain activation via spatial Bayesian variable selection in fMRI regression

Advances in Data Analysis and Classification