581 search results - page 35 / 117 » Set partition patterns and statistics |
SCALESPACE
2001
Springer
14 years 2 months ago
2001
Springer
Bayesian statistical theory is a convenient way of taking a priori information into consideration when inference is made from images. In Bayesian image detection, the a priori dist...
KDD
2007
ACM
14 years 10 months ago
2007
ACM
Abstract. Model selection is an important problem in statistics, machine learning, and data mining. In this paper, we investigate the problem of enabling multiple parties to perfor...
ML
2006
ACM
13 years 10 months ago
2006
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
ICDE
2009
IEEE
14 years 11 months ago
2009
IEEE
Graphs are being increasingly used to model a wide range of scientific data. Such widespread usage of graphs has generated considerable interest in mining patterns from graph datab...
ATAL
2003
Springer
14 years 3 months ago
2003
Springer
This paper introduces a set of algorithmic modifications that improve the partitioning results obtained with ant-based clustering. Moreover, general parameter settings and a self-...