240 search results - page 7 / 48 » Laplacian Spectrum Learning |
AAAI
2010
14 years 11 months ago
2010
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
79
Voted
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in a step-by-step lab...
ICCV
2007
IEEE
15 years 3 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
105
Voted
JCM
2006
14 years 9 months ago
2006
Abstract-- Future generations of wireless systems require opportunistic spectrum access techniques to effectively detect and access temporarily unused spectrum bands. Cognitive rad...
92
Voted
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...