148 search results - page 5 / 30 » Context-Based Distance Learning for Categorical Data Cluster... |
ICML
2002
IEEE
14 years 8 months ago
2002
IEEE
Supervised learning techniques for text classi cation often require a large number of labeled examples to learn accurately. One way to reduce the amountoflabeled datarequired is t...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
This paper proposes a novel algorithm for categorization of action video sequences using unsupervised dual clustering. Given a video database, we extract motion information of act...
LREC
2010
13 years 8 months ago
2010
We present the problem of categorizing web services according to a shallow ontology for presentation on a specialist portal, using their WSDL and associated textual documents foun...
PAKDD
2011
ACM
12 years 10 months ago
2011
ACM
Abstract. The concept of similarity is fundamentally important in almost every scientific field. Clustering, distance-based outlier detection, classification, regression and sea...
MLDM
2005
Springer
14 years 18 days ago
2005
Springer
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...