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ICCV
2005
IEEE
14 years 10 months ago
A Spectral Technique for Correspondence Problems Using Pairwise Constraints
We present an efficient spectral method for finding consistent correspondences between two sets of features. We build the adjacency matrix M of a graph whose nodes represent the p...
Marius Leordeanu, Martial Hebert
MICCAI
2008
Springer
14 years 9 months ago
Estimation of Ground-Glass Opacity Measurement in CT Lung Images
We propose to measure quantitatively the opacity property of each pixel in a ground-glass opacity tumor from CT images. Our method results in an opacity map in which each pixel tak...
Yuanjie Zheng, Chandra Kambhamettu, Thomas Bauer...
ICML
2009
IEEE
14 years 9 months ago
Prototype vector machine for large scale semi-supervised learning
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
Kai Zhang, James T. Kwok, Bahram Parvin
ICML
2006
IEEE
14 years 9 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
ICML
2005
IEEE
14 years 9 months ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty