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SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
14 years 11 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
MICCAI
2010
Springer
14 years 8 months ago
Manifold Learning for Biomarker Discovery in MR Imaging
We propose a framework for the extraction of biomarkers from low-dimensional manifolds representing inter- and intra-subject brain variation in MR image data. The coordinates of ea...
Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Daniel...
MICCAI
2006
Springer
15 years 11 months ago
Segmentation of Brain MRI in Young Children
Abstract. This paper describes an automatic tissue segmentation algorithm for brain MRI of young children. Existing segmentation methods developed for the adult brain do not take i...
Maria Murgasova, Leigh Dyet, A. David Edwards, Mar...
ICCV
2005
IEEE
15 years 12 months ago
Robust Path-Based Spectral Clustering with Application to Image Segmentation
Spectral clustering and path-based clustering are two recently developed clustering approaches that have delivered impressive results in a number of challenging clustering tasks. ...
Hong Chang, Dit-Yan Yeung
VIP
2003
14 years 11 months ago
Segmentation-Based Multilayer Diagnosis Lossless Medical Image compression
Hospital and clinical environments are moving towards computerisation, digitisation and centralisation, resulting in prohibitive amounts of digital medical image data. Compression...
Xin Bai 0002, Jesse S. Jin, David Dagan Feng