148 search results - page 5 / 30 » Context-Based Distance Learning for Categorical Data Cluster... |
98
Voted
ICML
2002
IEEE
16 years 1 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...
109
Voted
ICPR
2008
IEEE
15 years 6 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...
97
Voted
LREC
2010
15 years 1 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...
222
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PAKDD
2011
ACM
14 years 3 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...
94
Voted
MLDM
2005
Springer
15 years 5 months 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...