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» Learning from Ambiguously Labeled Examples
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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 11 months ago
Mining social networks for personalized email prioritization
Email is one of the most prevalent communication tools today, and solving the email overload problem is pressingly urgent. A good way to alleviate email overload is to automatical...
Shinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon
CVPR
2010
IEEE
14 years 3 months ago
Cascaded Pose Regression
We present a fast and accurate algorithm for computing the 2D pose of objects in images called cascaded pose regression (CPR). CPR progressively refines a loosely specified initia...
Piotr Dollar, Peter Welinder, Pietro Perona
ICDM
2006
IEEE
110views Data Mining» more  ICDM 2006»
14 years 5 months ago
Manifold Clustering of Shapes
Shape clustering can significantly facilitate the automatic labeling of objects present in image collections. For example, it could outline the existing groups of pathological ce...
Dragomir Yankov, Eamonn J. Keogh
IJCV
2008
186views more  IJCV 2008»
13 years 11 months ago
Multi-Class Segmentation with Relative Location Prior
Multi-class image segmentation has made significant advances in recent years through the combination of local and global features. One important type of global feature is that of i...
Stephen Gould, Jim Rodgers, David Cohen, Gal Elida...
CVPR
2007
IEEE
15 years 1 months ago
Using Segmentation to Verify Object Hypotheses
We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework. Scanning-window template classifiers are the ...
Deva Ramanan