416 search results - page 9 / 84 » Nonlinear Feature Selection by Relevance Feature Vector Mach... |
CVPR
2004
IEEE
13 years 11 months ago
2004
IEEE
Relevance feedback approaches based on support vector machine (SVM) learning have been applied to significantly improve retrieval performance in content-based image retrieval (CBI...
DCC
2006
IEEE
14 years 7 months ago
2006
IEEE
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
JMM
2007
13 years 7 months ago
2007
In this paper, we combine the use of Reduced Feature Vector Integration (RFI) and Distance Integration (DI) with Relevance Feedback (RF) on 3D model similarity retrieval. The RFI ...
MLDM
2009
Springer
14 years 7 days ago
2009
Springer
The new approach of relevant feature selection in machine learning is proposed for the case of ordered features. Feature selection and regularization of decision rule are combined ...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...