Abstract-- This paper presents an approach for visualizing highdimensional fuzzy rules arranged in a hierarchy together with the training patterns they cover. A standard multi-dime...
Thomas R. Gabriel, Kilian Thiel, Michael R. Bertho...
Abstract. The need to compress data into synopses of summarized information often arises in many application scenarios, where the aim is to retrieve aggregate data efficiently, pos...
Filippo Furfaro, Giuseppe M. Mazzeo, Domenico Sacc...
We propose the combination of two recently introduced methods for the interactive visual data mining of large collections of data. Both, Hyperbolic Multi-Dimensional Scaling (HMDS...
The wavelet transform hierarchically decomposes images with prescribed bases, while multilineal models search for optimal bases to adapt visual data. In this paper, we integrate t...
Based on the theory of Markov Random Fields, a Bayesian regularization model for diffusion tensor images (DTI) is proposed in this paper. The low-degree parameterization of diffus...
Siming Wei, Jing Hua, Jiajun Bu, Chun Chen, Yizhou...