184 search results - page 32 / 37 » Semi-Supervised Novelty Detection |
102
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ICIP
2003
IEEE
15 years 2 months ago
2003
IEEE
This paper presents novel methods for classifying images based on knowledge discovered from annotated images using WordNet. The novelty of this work is the automatic class discove...
102
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CIKM
2006
Springer
15 years 1 months ago
2006
Springer
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...
ESOP
2000
Springer
15 years 1 months ago
2000
Springer
Abstract. Type classes in Haskell allow programmers to define functions that can be used on a set of different types, with a potentially different implementation in each case. For ...
DEXA
2008
Springer
2008
Springer
Evolutionary Clustering in Description Logics: Controlling Concept Formation and Drift in Ontologies
14 years 11 months ago
Abstract. We present a method based on clustering techniques to detect concept drift or novelty in a knowledge base expressed in Description Logics. The method exploits an effectiv...
HIS
2008
14 years 11 months ago
2008
Online adaptation is a key requirement for image processing applications when used in dynamic environments. In contrast to batch learning, where retraining is required each time a...