Sciweavers

467 search results - page 6 / 94
» Learning Mixtures of DAG Models
Sort
View
ACL
1997
13 years 9 months ago
Mistake-Driven Mixture of Hierarchical Tag Context Trees
This paper proposes a mistake-driven mixture method for learning a tag model. The method iteratively performs two proce
Masahiko Haruno, Yuji Matsumoto
MVA
2002
195views Computer Vision» more  MVA 2002»
13 years 7 months ago
Improved Adaptive Mixture Learning for Robust Video Background Modeling
2 Related Works Gaussian mixtures are often used for data modeling in many real-time applications such as video background modeling and speaker direction tracking. The real-time a...
Dar-Shyang Lee
FOCS
1999
IEEE
13 years 12 months ago
Learning Mixtures of Gaussians
Mixtures of Gaussians are among the most fundamental and widely used statistical models. Current techniques for learning such mixtures from data are local search heuristics with w...
Sanjoy Dasgupta
CORR
2006
Springer
99views Education» more  CORR 2006»
13 years 7 months ago
PAC Learning Mixtures of Axis-Aligned Gaussians with No Separation Assumption
Abstract. We propose and analyze a new vantage point for the learning of mixtures of Gaussians: namely, the PAC-style model of learning probability distributions introduced by Kear...
Jon Feldman, Ryan O'Donnell, Rocco A. Servedio
ICPR
2008
IEEE
14 years 2 months ago
A clustering algorithm combine the FCM algorithm with supervised learning normal mixture model
In this paper we propose a new clustering algorithm which combines the FCM clustering algorithm with the supervised learning normal mixture model; we call the algorithm as the FCM...
Wei Wang, Chunheng Wang, Xia Cui, Ai Wang