999 search results - page 10 / 200 » Efficient Learning to Label Images |
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
NIPS
1998
1998
Probabilistic Modeling for Face Orientation Discrimination: Learning from Labeled and Unlabeled Data
14 years 11 months ago
This paper presents probabilistic modeling methods to solve the problem of discriminating between five facial orientations with very little labeled data. Three models are explored...
141
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CVPR
2012
IEEE
13 years 7 days ago
2012
IEEE
In this article, we focus on the problem of large-scale instance-level image retrieval. For efficiency reasons, it is common to represent an image by a fixed-length descriptor w...
115
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SDM
2009
SIAM
15 years 7 months ago
2009
SIAM
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We present the Higher Order Proxy Neighborhoods (HOPS) approach to modeling higher order neighborhoods in Markov Random Fields (MRFs). HOPS incorporates more context information i...