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» On Clusterings - Good, Bad and Spectral
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MICCAI
2005
Springer
14 years 9 months ago
White Matter Tract Clustering and Correspondence in Populations
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...
Lauren O'Donnell, Carl-Fredrik Westin
ICML
2010
IEEE
13 years 9 months ago
Power Iteration Clustering
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...
Frank Lin, William W. Cohen
ECCV
2004
Springer
14 years 10 months ago
Image Clustering with Metric, Local Linear Structure, and Affine Symmetry
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...
Jongwoo Lim, Jeffrey Ho, Ming-Hsuan Yang, Kuang-Ch...
JMLR
2010
198views more  JMLR 2010»
13 years 6 months ago
On Learning with Integral Operators
A large number of learning algorithms, for example, spectral clustering, kernel Principal Components Analysis and many manifold methods are based on estimating eigenvalues and eig...
Lorenzo Rosasco, Mikhail Belkin, Ernesto De Vito
AVBPA
2003
Springer
101views Biometrics» more  AVBPA 2003»
14 years 3 days ago
Gait Shape Estimation for Identification
A method is presented for identifying individuals by shape, given a sequence of noisy silhouettes segmented from video. A spectral partitioning framework is used to cluster similar...
David Tolliver, Robert T. Collins