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DAGSTUHL
2003
13 years 6 months ago
Preset based interaction with high dimensional parameter spaces
Many systems require the setting of a large number of parameters. This is often a difficult and time consuming task, especially for novice users. A framework is presented to simp...
Jarke J. van Wijk, Cornelius W. A. M. van Overveld
KES
2006
Springer
13 years 4 months ago
Genetic-Fuzzy Modeling on High Dimensional Spaces
In this paper, in order to reduce the explosive increase of the search space as the input dimension grows, we present a new representation method for the structure of fuzzy rules, ...
Joon-Min Gil, SeongHoon Lee
ICASSP
2010
IEEE
13 years 4 months ago
Robust regression using sparse learning for high dimensional parameter estimation problems
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
INFOVIS
2003
IEEE
13 years 10 months ago
Interactive Hierarchical Dimension Ordering, Spacing and Filtering for Exploration of High Dimensional Datasets
Large numbers of dimensions not only cause clutter in multidimensional visualizations, but also make it difficult for users to navigate the data space. Effective dimension manage...
Jing Yang, Wei Peng, Matthew O. Ward, Elke A. Rund...
MASCOTS
2008
13 years 6 months ago
Finding Good Configurations in High-Dimensional Spaces: Doing More with Less
Manually tuning tens to hundreds of configuration parameters in a complex software system like a database or an application server is an arduous task. Recent work has looked into ...
Risi Thonangi, Vamsidhar Thummala, Shivnath Babu