240 search results - page 18 / 48 » Laplacian Spectrum Learning |
112
click to vote
CDC
2008
IEEE
15 years 8 months ago
2008
IEEE
—We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooper...
98
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...
121
Voted
ECCV
2010
Springer
15 years 4 months ago
2010
Springer
We propose a spectral learning approach to shape segmentation. The method is composed of a constrained spectral clustering algorithm that is used to supervise the segmentation of a...
104
Voted
ICPR
2010
IEEE
14 years 11 months ago
2010
IEEE
In this paper, an easily implemented semi-supervised graph learning method is presented for dimensionality reduction and clustering, using the most of prior knowledge from limited...
138
Voted
NIPS
2004
15 years 3 months ago
2004
We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...