179 search results - page 3 / 36 » Genetic-Fuzzy Modeling on High Dimensional Spaces |
KDD
2001
ACM
14 years 5 months ago
2001
ACM
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
HAIS
2009
Springer
13 years 10 months ago
2009
Springer
Developing models and methods to manage data vagueness is a current effervescent research field. Some work has been done with supervised problems but unsupervised problems and unce...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...
PODS
2001
ACM
14 years 5 months ago
2001
ACM
The dimensionality curse has profound e ects on the effectiveness of high-dimensional similarity indexing from the performance perspective. One of the well known techniques for im...
ICMLA
2009
13 years 3 months ago
2009
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...