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108
Voted
ICPR
2006
IEEE
16 years 3 months ago
2006
IEEE
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...
106
Voted
ICPR
2006
IEEE
16 years 3 months ago
2006
IEEE
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...
108
Voted
MICCAI
2006
Springer
16 years 3 months ago
2006
Springer
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 ...
116
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
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...
112
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ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
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...