333 search results - page 44 / 67 » B-Matching for Spectral Clustering |
NIPS
2004
13 years 9 months ago
2004
We propose a new method for clustering based on finding maximum margin hyperplanes through data. By reformulating the problem in terms of the implied equivalence relation matrix, ...
NIPS
2003
13 years 9 months ago
2003
Clustering aims at extracting hidden structure in dataset. While the problem of finding compact clusters has been widely studied in the literature, extracting arbitrarily formed ...
MICCAI
2005
Springer
14 years 8 months ago
2005
Springer
We present a novel method for finding white matter fiber correspondences and clusters across a population of brains. Our input is a collection of paths from tractography in every b...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We present a simple and scalable graph clustering method called power iteration clustering (PIC). PIC finds a very low-dimensional embedding of a dataset using truncated power ite...
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
Abstract. This paper addresses the problem of clustering images of objects seen from different viewpoints. That is, given an unlabelled set of images of n objects, we seek an unsup...