912 search results - page 21 / 183 » A New Study on Distance Metrics as Similarity Measurement |
VLDB
1997
ACM
13 years 11 months ago
1997
ACM
A new access method, called M-tree, is proposed to organize and search large data sets from a generic "metric space", i.e. where object proximity is only defined by a di...
MMS
2006
13 years 7 months ago
2006
The selection of appropriate proximity measures is one of the crucial success factors of content-based visual information retrieval. In this area of research, proximity measures ar...
ICDE
2002
IEEE
14 years 9 months ago
2002
IEEE
We investigate techniques for analysis and retrieval of object trajectories in a two or three dimensional space. Such kind of data usually contain a great amount of noise, that ma...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Correlation is one of the most widely used similarity measures in machine learning like Euclidean and Mahalanobis distances. However, compared with proposed numerous discriminant ...
SEKE
1994
Springer
13 years 11 months ago
1994
Springer
This paper presents a model of estimating the similarity of software artifacts so as to promote their analogical reuse. The model permits comparisons between artifacts developed a...