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ICPR
2006
IEEE
14 years 11 months ago
A Semi-supervised SVM for Manifold Learning
Many classification tasks benefit from integrating manifold learning and semi-supervised learning. By formulating the learning task in a semi-supervised manner, we propose a novel...
Zhili Wu, Chun-hung Li, Ji Zhu, Jian Huang
ICPR
2006
IEEE
14 years 11 months ago
Type-2 Fuzzy Markov Random Fields to Handwritten Character Recognition
This paper integrates Markov random fields (MRFs) with type-2 fuzzy sets (T2 FSs) referred to as T2 FMRFs, which can handle the fuzziness of the labeling space as well as the rand...
Jia Zeng, Zhi-Qiang Liu
MICCAI
2006
Springer
14 years 11 months ago
Automatic IVUS Segmentation of Atherosclerotic Plaque with Stop & Go Snake
Since the upturn of intravascular ultrasound (IVUS) as an imaging technique for the coronary artery system, much research has been done to simplify the complicated analysis of the ...
Ellen J. L. Brunenberg, Oriol Pujol, Bart M. ter H...
ICML
2006
IEEE
14 years 11 months ago
Ranking on graph data
In ranking, one is given examples of order relationships among objects, and the goal is to learn from these examples a real-valued ranking function that induces a ranking or order...
Shivani Agarwal
ICML
2006
IEEE
14 years 11 months ago
A continuation method for semi-supervised SVMs
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
Olivier Chapelle, Mingmin Chi, Alexander Zien