Sciweavers

3726 search results - page 137 / 746
» A structured definition of the modeling process
Sort
View
ICCV
2007
IEEE
15 years 11 days ago
Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
CVPR
2011
IEEE
13 years 2 months ago
Visual textures as realizations of multivariate log-Gaussian Cox processes
In this paper, we address invariant keypoint-based texture characterization and recognition. Viewing keypoint sets associated with visual textures as realizations of point process...
Huu-Giao Nguyen, Ronan Fablet, Jean-Marc Boucher
ICDM
2008
IEEE
118views Data Mining» more  ICDM 2008»
14 years 4 months ago
Dirichlet Process Based Evolutionary Clustering
Evolutionary Clustering has emerged as an important research topic in recent literature of data mining, and solutions to this problem have found a wide spectrum of applications, p...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...
DOLAP
2006
ACM
14 years 4 months ago
Designing ETL processes using semantic web technologies
One of the most important tasks performed in the early stages of a data warehouse project is the analysis of the structure and content of the existing data sources and their inten...
Dimitrios Skoutas, Alkis Simitsis
ACL
2009
13 years 8 months ago
A Note on the Implementation of Hierarchical Dirichlet Processes
The implementation of collapsed Gibbs samplers for non-parametric Bayesian models is non-trivial, requiring considerable book-keeping. Goldwater et al. (2006a) presented an approx...
Phil Blunsom, Trevor Cohn, Sharon Goldwater, Mark ...