1548 search results - page 3 / 310 » Supervised Tensor Learning |
126
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ML
2010
ACM
14 years 10 months ago
2010
ACM
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
84
Voted
ICTAI
2009
IEEE
15 years 7 months ago
2009
IEEE
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
108
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ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
102
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CVPR
2008
IEEE
15 years 2 months ago
2008
IEEE
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE