TVCG
2011
12 years 11 months ago
2011
— The growing sizes of volumetric data sets pose a great challenge for interactive visualization. In this paper, we present a feature-preserving data reduction and focus+context ...
WABI
2010
Springer
13 years 2 months ago
2010
Springer
The center string (or closest string) problem is a classical computer science problem with important applications in computational biology. Given k input strings and a distance thr...
IJCSS
2000
13 years 4 months ago
2000
Abstract. The quality of a decision tree is usually evaluated through its complexity and its generalization accuracy. Tree-simpli
ESANN
2006
13 years 6 months ago
2006
Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which ...
CLA
2004
13 years 6 months ago
2004
cessary to abstract it and eliminate the redundancy data. In this context, a method for data reduction based on the formal concept analysis is proposed in [16,17]. At the same time...
HAIS
2009
Springer
13 years 7 months ago
2009
Springer
Abstract. Cooperative Coevolution is a technique in the area of Evolutionary Computation. It has been applied to many combinatorial problems with great success. This contribution p...
EDBT
2009
ACM
13 years 7 months ago
2009
ACM
The widespread use of mobile appliances, with limitations in terms of storage, power, and connectivity capability, requires to minimize the amount of data to be loaded on user’s...
PAKDD
2000
ACM
13 years 8 months ago
2000
ACM
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
ICIP
2007
IEEE
13 years 8 months ago
2007
IEEE
This communication deals with data reduction and regression. A set of high dimensional data (e.g., images) usually has only a few degrees of freedom with corresponding variables t...
KDD
1998
ACM
13 years 8 months ago
1998
ACM
Data reduction makes datasets smaller but preserves classication structures of interest. It is an important area of research in data mining and databases. In this paper we present...