Sciweavers

1454 search results - page 111 / 291
» On High Dimensional Skylines
Sort
View
ICTAI
2005
IEEE
15 years 11 months ago
Latent Process Model for Manifold Learning
In this paper, we propose a novel stochastic framework for unsupervised manifold learning. The latent variables are introduced, and the latent processes are assumed to characteriz...
Gang Wang, Weifeng Su, Xiangye Xiao, Frederick H. ...
IWANN
2005
Springer
15 years 11 months ago
Heuristic Search over a Ranking for Feature Selection
In this work, we suggest a new feature selection technique that lets us use the wrapper approach for finding a well suited feature set for distinguishing experiment classes in hig...
Roberto Ruiz, José Cristóbal Riquelm...
GFKL
2004
Springer
137views Data Mining» more  GFKL 2004»
15 years 11 months ago
Density Estimation and Visualization for Data Containing Clusters of Unknown Structure
Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
Alfred Ultsch
VISUALIZATION
2000
IEEE
15 years 10 months ago
Scientific visualization of water quality in the Chesapeake Bay
This paper describes our experience in designing and building a tool for visualizing the results of the CE-QUAL-ICM Three-Dimensional Eutrophication Model, as applied to water qua...
Robert Stein, Alan M. Shih, M. Pauline Baker, Carl...
FGR
2004
IEEE
200views Biometrics» more  FGR 2004»
15 years 9 months ago
Using Random Subspace to Combine Multiple Features for Face Recognition
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
Xiaogang Wang, Xiaoou Tang