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MICCAI
2010
Springer
13 years 7 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
ICML
2009
IEEE
14 years 10 months ago
Graph construction and b-matching for semi-supervised learning
Graph based semi-supervised learning (SSL) methods play an increasingly important role in practical machine learning systems. A crucial step in graph based SSL methods is the conv...
Tony Jebara, Jun Wang, Shih-Fu Chang
CVPR
2009
IEEE
15 years 4 months ago
Curvature and Singularity Driven Diffusion for Oriented Pattern Enhancement with Singular Points
Oriented patterns, e.g. fingerprints, consist of smoothly varying flow-like patterns, together with important singular points (i.e. cores and deltas) where the orientation change...
Qijun Zhao (The Hong Kong Polytechnic University),...
CVPR
2009
IEEE
15 years 3 months ago
A Graph-based Approach to Skin Mole Matching Incorporating Template-Normalized Coordinates
Density of moles is a strong predictor of malignant melanoma. Some dermatologists advocate periodic fullbody scan for high-risk patients. In current practice, physicians compare...
Ghassan Hamarneh, Hengameh Mirzaalian, Tim K. Lee
CVPR
2005
IEEE
14 years 11 months ago
Pruning Training Sets for Learning of Object Categories
Training datasets for learning of object categories are often contaminated or imperfect. We explore an approach to automatically identify examples that are noisy or troublesome fo...
Anelia Angelova, Yaser S. Abu-Mostafa, Pietro Pero...