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MICCAI
2005
Springer
15 years 10 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
14 years 11 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
15 years 11 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...
BMCBI
2007
173views more  BMCBI 2007»
14 years 10 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
ISNN
2011
Springer
14 years 23 days ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes