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ICML
2004
IEEE
14 years 7 months ago
Variational methods for the Dirichlet process
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
David M. Blei, Michael I. Jordan
ICCV
2011
IEEE
12 years 6 months ago
Decision Tree Fields
This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fiel...
Sebastian Nowozin, Carsten Rother, Shai Bagon, Ban...
MM
2004
ACM
188views Multimedia» more  MM 2004»
13 years 11 months ago
A new method to segment playfield and its applications in match analysis in sports video
With the growing popularity of digitized sports video, automatic analysis of them need be processed to facilitate semantic summarization and retrieval. Playfield plays the fundame...
Shuqiang Jiang, Qixiang Ye, Wen Gao, Tiejun Huang
SMA
2003
ACM
132views Solid Modeling» more  SMA 2003»
13 years 11 months ago
Tight cocone: a water-tight surface reconstructor
Surface reconstruction from unorganized sample points is an important problem in computer graphics, computer aided design, medical imaging and solid modeling. Recently a few algor...
Tamal K. Dey, Samrat Goswami
SCALESPACE
2007
Springer
14 years 11 days ago
Non-negative Sparse Modeling of Textures
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...
Gabriel Peyré