1516 search results - page 168 / 304 » On the Learnability of Vector Spaces |
MINENET
2006
ACM
15 years 4 months ago
2006
ACM
We examine the ability to exploit the hierarchical structure of Internet addresses in order to endow network agents with predictive capabilities. Specifically, we consider Suppor...
DSSCV
2005
Springer
15 years 3 months ago
2005
Springer
In this paper, we present a novel framework to carry out computations on tensors, i.e. symmetric positive definite matrices. We endow the space of tensors with an affine-invariant...
PKDD
2001
Springer
15 years 2 months ago
2001
Springer
This paper discusses the clustering quality and complexities of the hierarchical data clustering algorithm based on gravity theory. The gravitybased clustering algorithm simulates ...
ICPR
2010
IEEE
15 years 2 months ago
2010
IEEE
A novel feature extraction method, namely monogenic binary pattern (MBP), is proposed in this paper based on the theory of monogenic signal analysis, and the histogram of MBP (HMB...
CIARP
2006
Springer
15 years 5 hour ago
2006
Springer
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...