| Analysis of MHT and GBT Approaches to Disparate-Sensor Fusion | 0 | 0.34 | 2020 |
| Stochastic Variational Inference for Bayesian Time Series Models. | 3 | 0.41 | 2014 |
| Bayesian nonparametric hidden semi-Markov models | 11 | 0.91 | 2013 |
| Learning Gaussian Graphical Models with Observed or Latent FVSs. | 5 | 0.52 | 2013 |
| Analyzing Hogwild Parallel Gaussian Gibbs Sampling. | 17 | 0.86 | 2013 |
| High-dimensional Gaussian graphical model selection: walk summability and local separation criterion | 21 | 1.00 | 2012 |
| Diagonal and Low-Rank Matrix Decompositions, Correlation Matrices, and Ellipsoid Fitting. | 2 | 0.37 | 2012 |
| Rejoinder: Latent variable graphical model selection via convex optimization | 3 | 0.42 | 2012 |
| Rank-Sparsity Incoherence for Matrix Decomposition. | 135 | 6.90 | 2011 |
| Bayesian Nonparametric Inference of Switching Dynamic Linear Models | 49 | 2.20 | 2011 |
| Learning Latent Tree Graphical Models | 84 | 3.51 | 2011 |
| Energy-Latency Tradeoff For In-Network Function Computation In Random Networks | 4 | 0.40 | 2011 |
| Linear Dimensionality Reduction for Margin-Based Classification: High-Dimensional Data and Sensor Networks | 12 | 0.56 | 2011 |
| Nonparametric belief propagation | 171 | 13.45 | 2010 |
| Paths Ahead in the Science of Information and Decision Systems [In the Spotlight] | 0 | 0.34 | 2010 |
| An Efficient Message-Passing Algorithm for Optimizing Decentralized Detection Networks | 23 | 0.93 | 2010 |
| Convex graph invariants | 0 | 0.34 | 2010 |
| Gaussian Multiresolution Models: Exploiting Sparse Markov and Covariance Structure | 9 | 0.63 | 2010 |
| An efficient message passing algorithm for multi-target tracking | 7 | 0.61 | 2009 |
| Exploiting sparse Markov and covariance structure in multiresolution models | 3 | 0.44 | 2009 |
| Learning dimensionality-reduced classifiers for information fusion | 3 | 0.39 | 2009 |
| Describing Visual Scenes Using Transformed Objects and Parts | 98 | 7.70 | 2008 |
| Segmentation of the evolving left ventricle by learning the dynamics | 2 | 0.49 | 2008 |
| A recursive model-reduction method for approximate inference in Gaussian Markov random fields. | 6 | 0.59 | 2008 |
| Mcmc Curve Sampling And Geometric Conditional Simulation | 1 | 0.37 | 2008 |
| Nonparametric Bayesian Learning of Switching Linear Dynamical Systems | 53 | 2.02 | 2008 |
| Low-Rank Variance Approximation in GMRF Models: Single and Multiscale Approaches | 12 | 0.75 | 2008 |
| Estimation in Gaussian Graphical Models Using Tractable Subgraphs: A Walk-Sum Analysis | 19 | 1.11 | 2008 |
| Loop Series and Bethe Variational Bounds in Attractive Graphical Models | 8 | 0.68 | 2007 |
| Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis | 2 | 0.38 | 2007 |
| Learning Markov Structure by Maximum Entropy Relaxation | 5 | 0.63 | 2007 |
| A state-space analysis for reconstruction of goal-directed movements using neural signals. | 26 | 2.82 | 2006 |
| Importance Sampling Actor-Critic Algorithms | 2 | 0.45 | 2006 |
| Variational approaches on discontinuity localization and field estimation in sea surface temperature and soil moisture | 3 | 0.38 | 2006 |
| Low-Rank Variance Estimation in Large-Scale Gmrf Models. | 8 | 0.93 | 2006 |
| Distributed fusion in sensor networks | 38 | 3.02 | 2006 |
| Depth from Familiar Objects: A Hierarchical Model for 3D Scenes | 39 | 3.86 | 2006 |
| Inference with Minimal Communication: a Decision-Theoretic Variational Approach | 8 | 0.79 | 2005 |
| Homotopy Continuation For Sparse Signal Representation | 99 | 15.70 | 2005 |
| ESTIMATING DEPENDENCY AND SIGNIFICANCE FOR HIGH-DIMENSIONAL DATA | 2 | 0.49 | 2005 |
| Learning Hierarchical Models of Scenes, Objects, and Parts | 174 | 18.18 | 2005 |
| Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation | 13 | 1.56 | 2005 |
| Describing Visual Scenes using Transformed Dirichlet Processes | 55 | 10.33 | 2005 |
| Loopy Belief Propagation: Convergence and Effects of Message Errors | 116 | 7.47 | 2005 |
| MAP estimation via agreement on trees: message-passing and linear programming | 332 | 19.79 | 2005 |
| A nonparametric statistical method for image segmentation using information theory and curve evolution. | 102 | 3.93 | 2005 |
| Optimization Approaches To Dynamic Routing Of Measurements And Models In A Sensor Network Object Tracking Problem | 3 | 0.60 | 2005 |
| Level Set Methods in an EM Framework for Shape Classification and Estimation | 3 | 0.57 | 2004 |
| Embedded trees: estimation of Gaussian Processes on graphs with cycles | 33 | 5.07 | 2004 |
| Visual Hand Tracking Using Nonparametric Belief Propagation | 83 | 6.18 | 2004 |
