1028 search results - page 72 / 206 » Measuring Distributional Similarity in Context |
ICDE
1999
IEEE
14 years 10 months ago
1999
IEEE
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
UAI
2008
13 years 10 months ago
2008
Exemplar-based clustering methods have been shown to produce state-of-the-art results on a number of synthetic and real-world clustering problems. They are appealing because they ...
TMI
2010
13 years 3 months ago
2010
Over the past ten years similarity measures based on intensity distributions have become state-of-the-art in automatic multimodal image registration. An implementation for clinical...
KDD
2008
ACM
14 years 9 months ago
2008
ACM
: Locality Sensitive Hash functions are invaluable tools for approximate near neighbor problems in high dimensional spaces. In this work, we are focused on LSH schemes where the si...
ICPR
2002
IEEE
14 years 10 months ago
2002
IEEE
In this paper we present a probabilistic and continuous framework for supervised image category modelling and matching as well as unsupervised clustering of image space into image...