168 search results - page 31 / 34 » Multi-label Multiple Kernel Learning |
JMLR
2011
14 years 4 months ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
90
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AAAI
2008
15 years 17 hour ago
2008
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...
153
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VLSISP
2011
14 years 4 months ago
2011
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
ECCV
2010
Springer
15 years 3 days ago
2010
Springer
Abstract. We describe a clustering approach with the emphasis on detecting coherent structures in a complex dataset, and illustrate its effectiveness with computer vision applicat...
89
Voted
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
In this paper, we present a novel semisupervised regression algorithm working on multiclass data that may lie on multiple manifolds. Unlike conventional manifold regression algori...