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» Cluster Analysis of High-Dimensional Data: A Case Study
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ICDE
2007
IEEE
211views Database» more  ICDE 2007»
14 years 1 months ago
Document Representation and Dimension Reduction for Text Clustering
Increasingly large text datasets and the high dimensionality associated with natural language create a great challenge in text mining. In this research, a systematic study is cond...
M. Mahdi Shafiei, Singer Wang, Roger Zhang, Evange...
DATESO
2008
156views Database» more  DATESO 2008»
13 years 9 months ago
Developing Genetic Algorithms for Boolean Matrix Factorization
Matrix factorization or factor analysis is an important task helpful in the analysis of high dimensional real world data. There are several well known methods and algorithms for fa...
Václav Snásel, Jan Platos, Pavel Kr&...
CVPR
2005
IEEE
14 years 9 months ago
Subspace Analysis Using Random Mixture Models
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
Xiaogang Wang, Xiaoou Tang
ICPR
2006
IEEE
14 years 8 months ago
3D and Infrared Face Reconstruction from RGB data using Canonical Correlation Analysis
In this paper, we apply a multiple regression method based on Canonical Correlation Analysis (CCA) to face data modelling. CCA is a factor analysis method which exploits the corre...
Michael Reiter, Rene Donner, Georg Langs, Horst Bi...
SIGMETRICS
1999
ACM
13 years 12 months ago
Improving Performance of Data Analysis in Data Warehouses: A Methodology and Case Study
Data analysis in very large databases requires innovative techniques. In an exploration and discovery scenario, the performance of standard SQL techniques can be unacceptable. Thi...
Janet Siebert