1956 search results - page 110 / 392 » Learning the Relative Importance of Features in Image Data |
161
Voted
JMLR
2011
14 years 10 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...
148
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ECCV
2008
Springer
16 years 5 months ago
2008
Springer
Abstract. Sparse signal models learned from data are widely used in audio, image, and video restoration. They have recently been generalized to discriminative image understanding t...
186
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CRV
2011
IEEE
14 years 3 months ago
2011
IEEE
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
186
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CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
Despite significant recent progress, the best available visual saliency models still lag behind human performance in predicting eye fixations in free-viewing of natural scenes. ...
114
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SMI
2005
IEEE
15 years 9 months ago
2005
IEEE
Feature sensitive mesh segmentation is important for many computer graphics and geometric modeling applications. In this paper, we develop a mesh segmentation method which is capa...