171 search results - page 6 / 35 » Topic-conditioned novelty detection |
NIPS
2004
13 years 9 months ago
2004
In this paper we propose a probabilistic model for online document clustering. We use non-parametric Dirichlet process prior to model the growing number of clusters, and use a pri...
SGAI
2007
Springer
14 years 1 months ago
2007
Springer
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
IDEAL
2005
Springer
14 years 1 months ago
2005
Springer
Novelty detection involves identifying novel patterns. They are not usually available during training. Even if they are, the data quantity imbalance leads to a low classification ...
ESWS
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. The paper presents a clustering method which can be applied to populated ontologies for discovering interesting groupings of resources therein. The method exploits a simp...
RAS
2007
13 years 7 months ago
2007
This paper presents experiments with an autonomous inspection robot, whose task was to highlight novel features in its environment from camera images. The experiments used two dif...