59 search results - page 5 / 12 » Clustering for probabilistic model estimation for CF |
ECML
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...
NIPS
2007
13 years 10 months ago
2007
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
MMM
2011
Springer
13 years 7 days ago
2011
Springer
Probabilistic Latent Semantic Analysis (PLSA) has become a popular topic model for image clustering. However, the traditional PLSA method considers each image (document) independen...
KDD
2005
ACM
14 years 2 months ago
2005
ACM
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
Recent studies on visual tracking have shown significant improvement in accuracy by handling the appearance variations of the target object. Whereas most studies present schemes ...