255 search results - page 20 / 51 » On the Effects of Dimensionality Reduction on High Dimension... |
APWEB
2006
Springer
14 years 2 months ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
CVPR
2004
IEEE
15 years 13 days ago
2004
IEEE
Multibody grouping is a representative of applying subspace constraints in computer vision tasks. Under linear projection models, feature points of multibody reside in multiple su...
ICDT
2001
ACM
14 years 2 months ago
2001
ACM
Abstract. Nearest-neighbor queries in high-dimensional space are of high importance in various applications, especially in content-based indexing of multimedia data. For an optimiz...
JMLR
2010
13 years 5 months ago
2010
In this paper we describe an online/incremental linear binary classifier based on an interesting approach to estimate the Fisher subspace. The proposed method allows to deal with ...
AAAI
2010
13 years 12 months ago
2010
Dimensionality reduction is the process by which a set of data points in a higher dimensional space are mapped to a lower dimension while maintaining certain properties of these p...