24 search results - page 4 / 5 » Complexity of Pattern Classes and Lipschitz Property |
ICA
2012
Springer
12 years 3 months ago
2012
Springer
A novel tensor decomposition called pattern or P-decomposition is proposed to make it possible to identify replicating structures in complex data, such as textures and patterns in ...
IJCAI
1989
13 years 8 months ago
1989
Multilayered feedforward neural networks possess a number of properties which make them particularly suited to complex pattern classification problems. However, their application ...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
ICSE
2008
IEEE-ACM
14 years 8 months ago
2008
IEEE-ACM
Program specifications are important in many phases of the software development process, but they are often omitted or incomplete. An important class of specifications takes the f...
PR
2007
13 years 7 months ago
2007
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...