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ECCV
2004
Springer
14 years 9 months ago
2004
Springer
We extend the constellation model to include heterogeneous parts which may represent either the appearance or the geometry of a region of the object. The parts and their spatial co...
ECAI
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. We propose a framework that learns functional objectes from spatio-temporal data sets such as those abstracted from video. The data is represented as one activity graph t...
CVPR
2000
IEEE
14 years 9 months ago
2000
IEEE
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
TCS
2002
13 years 7 months ago
2002
In this article, we consider unsupervised learning from the point of view of applying neural computation on signal and data analysis problems. The article is an introductory surve...
ACL
1996
13 years 8 months ago
1996
Words unknown to the lexicon present a substantial problem to part-of-speech tagging. In this paper we present a technique for fully unsupervised statistical acquisition of rules ...