14 search results - page 2 / 3 » A theoretical framework for learning from a pool of disparat... |
CVPR
2010
IEEE
14 years 10 days ago
2010
IEEE
Automatic categorization of videos in a Web-scale unconstrained collection such as YouTube is a challenging task. A key issue is how to build an effective training set in the pres...
CVPR
2009
IEEE
15 years 1 months ago
2009
IEEE
In many image and video collections, we have access
only to partially labeled data. For example, personal photo
collections often contain several faces per image and a caption
t...
CVPR
2007
IEEE
14 years 1 months ago
2007
IEEE
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
BMCBI
2010
13 years 6 months ago
2010
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
JMLR
2011
13 years 1 months ago
2011
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...