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CVPR
2008
IEEE
16 years 4 months ago
Combining appearance models and Markov Random Fields for category level object segmentation
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...
Diane Larlus, Frédéric Jurie
MICCAI
2004
Springer
16 years 3 months ago
3D Bayesian Regularization of Diffusion Tensor MRI Using Multivariate Gaussian Markov Random Fields
3D Bayesian regularization applied to diffusion tensor MRI is presented here. The approach uses Markov Random Field ideas and is based upon the definition of a 3D neighborhood syst...
Marcos Martín-Fernández, Carl-Fredri...
SODA
2012
ACM
268views Algorithms» more  SODA 2012»
13 years 4 months ago
Analyzing graph structure via linear measurements
We initiate the study of graph sketching, i.e., algorithms that use a limited number of linear measurements of a graph to determine the properties of the graph. While a graph on n...
Kook Jin Ahn, Sudipto Guha, Andrew McGregor
123
Voted
EMMCVPR
2009
Springer
15 years 6 months ago
Complex Diffusion on Scalar and Vector Valued Image Graphs
Complex diffusion was introduced in the image processing literature as a means to achieve simultaneous denoising and enhancement of scalar valued images. In this paper, we present ...
Dohyung Seo, Baba C. Vemuri
INFOVIS
2000
IEEE
15 years 6 months ago
Density Functions for Visual Attributes and Effective Partitioning in Graph Visualization
Two tasks in Graph Visualization require partitioning: the assignment of visual attributes and divisive clustering. Often, we would like to assign a color or other visual attribut...
Ivan Herman, M. Scott Marshall, Guy Melanço...