157 search results - page 4 / 32 » Discriminative Clustering via Generative Feature Mapping |
MCS
2007
Springer
14 years 29 days ago
2007
Springer
The strength of classifier combination lies either in a suitable averaging over multiple experts/sources or in a beneficial integration of complementary approaches. In this paper...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...
ICML
2006
IEEE
14 years 7 months ago
2006
IEEE
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
ICML
2007
IEEE
14 years 7 months ago
2007
IEEE
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
SAC
2008
ACM
13 years 6 months ago
2008
ACM
We systematically evaluate a recently proposed method for unsupervised discrimination power analysis for feature selection and optimization in multimedia applications. A series of...