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TVCG
2011
170views more  TVCG 2011»
9 years 19 days ago
Feature-Preserving Volume Data Reduction and Focus+Context Visualization
— 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 ...
Yu-Shuen Wang, Chaoli Wang, Tong-Yee Lee, Kwan-Liu...
WABI
2010
Springer
143views Bioinformatics» more  WABI 2010»
9 years 4 months ago
Swiftly Computing Center Strings
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...
Franziska Hufsky, Léon Kuchenbecker, Kathar...
IJCSS
2000
79views more  IJCSS 2000»
9 years 5 months ago
Impact of learning set quality and size on decision tree performances
Abstract. The quality of a decision tree is usually evaluated through its complexity and its generalization accuracy. Tree-simpli
Marc Sebban, Richard Nock, Jean-Hugues Chauchat, R...
ESANN
2006
9 years 7 months ago
Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images
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 ...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...
CLA
2004
9 years 7 months ago
Using Concept Formal Analysis for Cooperative Information Retrieval
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...
Ibtissem Nafkha, Samir Elloumi, Ali Jaoua
HAIS
2009
Springer
9 years 9 months ago
A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection
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...
Joaquín Derrac, Salvador García, Fra...
EDBT
2009
ACM
117views Database» more  EDBT 2009»
9 years 9 months ago
A methodology for preference-based personalization of contextual data
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...
Antonio Miele, Elisa Quintarelli, Letizia Tanca
PAKDD
2000
ACM
140views Data Mining» more  PAKDD 2000»
9 years 9 months ago
Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases
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...
Slobodan Vucetic, Zoran Obradovic
ICIP
2007
IEEE
9 years 9 months ago
Unsupervised Nonlinear Manifold Learning
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...
Matthieu Brucher, Christian Heinrich, Fabrice Heit...
KDD
1998
ACM
129views Data Mining» more  KDD 1998»
9 years 10 months ago
Data Reduction Based on Hyper Relations
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...
Hui Wang, Ivo Düntsch, David A. Bell
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