567 search results - page 15 / 114 » Distance Learning for Similarity Estimation |
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Graph edit distance provides an error-tolerant way to measure distances between attributed graphs. The effectiveness of edit distance based graph classification algorithms relies ...
TKDE
2010
13 years 6 months ago
2010
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Distance metric learning and nonlinear dimensionality reduction are two interesting and active topics in recent years. However, the connection between them is not thoroughly studi...
JMM
2007
13 years 7 months ago
2007
In this paper, we combine the use of Reduced Feature Vector Integration (RFI) and Distance Integration (DI) with Relevance Feedback (RF) on 3D model similarity retrieval. The RFI ...
WEBDB
2004
Springer
14 years 1 months ago
2004
Springer
Current approaches for answering queries with imprecise constraints require users to provide distance metrics and importance measures for attributes of interest. In this paper we ...