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» An adaptive graph model for automatic image annotation
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CIKM
2009
Springer
15 years 2 months ago
Probabilistic models for topic learning from images and captions in online biomedical literatures
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...
ICPR
2010
IEEE
15 years 2 months ago
Learning an Efficient and Robust Graph Matching Procedure for Specific Object Recognition
We present a fast and robust graph matching approach for 2D specific object recognition in images. From a small number of training images, a model graph of the object to learn is a...
Jerome Revaud, Guillaume Lavoue, Yasuo Ariki, Atil...
CVPR
2007
IEEE
15 years 11 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater
ROBOCUP
2004
Springer
158views Robotics» more  ROBOCUP 2004»
15 years 3 months ago
Plug and Play: Fast Automatic Geometry and Color Calibration for Cameras Tracking Robots
We have developed an automatic calibration method for a global camera system. Firstly, we show how to define automatically the color maps we use for tracking the robots’ markers...
Anna Egorova, Mark Simon, Fabian Wiesel, Alexander...
FGR
2006
IEEE
297views Biometrics» more  FGR 2006»
15 years 3 months ago
Automatic Skin Segmentation for Gesture Recognition Combining Region and Support Vector Machine Active Learning
Skin segmentation is the cornerstone of many applications such as gesture recognition, face detection, and objectionable image filtering. In this paper, we attempt to address the ...
Junwei Han, George Awad, Alistair Sutherland, Hai ...