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149
Voted
DELFI
2006
15 years 4 months ago
2006
: Mobile learning has left the status of a new born child. It is time now to implement some structure into the complex and various activities by a framework presented in this paper...
152
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CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
Graph-based methods form a main category of semisupervised
learning, offering flexibility and easy implementation
in many applications. However, the performance of
these methods...
115
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Although support vector machines (SVMs) for binary classification give rise to a decision rule that only relies on a subset of the training data points (support vectors), it will ...
148
Voted
CORR
2008
Springer
15 years 2 months ago
2008
Springer
Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...
160
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ICCV
2003
IEEE
16 years 4 months ago
2003
IEEE
This paper describes a novel application of support vector machines and multiscale texture and color invariants to a problem in biological oceanography: the identification of 6 sp...