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» Alignment using Spectral Clusters
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ICPR
2000
IEEE
14 years 2 months ago
Geometrically Guided Fuzzy C-Means Clustering for Multivariate Image Segmentation
Fuzzy C-means (FCM) clustering is an unsupervised clustering technique and is often used for the unsupervised segmentation of multivariate images. The segmentation of the image in...
J. C. Noordam, W. H. A. M. Van den Broek, Lutgarde...
CVPR
2005
IEEE
14 years 12 months ago
Beyond Pairwise Clustering
We consider the problem of clustering in domains where the affinity relations are not dyadic (pairwise), but rather triadic, tetradic or higher. The problem is an instance of the ...
Sameer Agarwal, Jongwoo Lim, Lihi Zelnik-Manor, Pi...
ICIP
2000
IEEE
14 years 11 months ago
Registration of Digital Ophthalmic Images Using Vector Mapping
This paper outlines a technique for the automated alignment of digital images of the retina under the assumption that they differ spatially by a geometric global transform. This a...
Neil Ryan, Conor Heneghan, M. Cahill
ICML
2006
IEEE
14 years 10 months ago
A new approach to data driven clustering
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
Arik Azran, Zoubin Ghahramani
KDD
2007
ACM
244views Data Mining» more  KDD 2007»
14 years 10 months ago
A Recommender System Based on Local Random Walks and Spectral Methods
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...
Zeinab Abbassi, Vahab S. Mirrokni