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» Learning to localize detected objects
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155
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FOSSACS
2005
Springer
15 years 11 months ago
Branching Cells as Local States for Event Structures and Nets: Probabilistic Applications
We study the concept of choice for true concurrency models such as prime event structures and safe Petri nets. We propose a dynamic variation of the notion of cluster previously in...
Samy Abbes, Albert Benveniste
200
Voted
TSMC
2011
292views more  TSMC 2011»
15 years 1 months ago
Circular Blurred Shape Model for Multiclass Symbol Recognition
—In this paper, we propose a circular blurred shape model descriptor to deal with the problem of symbol detection and classification as a particular case of object recognition. ...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
CVPR
2006
IEEE
16 years 8 months ago
Training Deformable Models for Localization
We present a new method for training deformable models. Assume that we have training images where part locations have been labeled. Typically, one fits a model by maximizing the l...
Deva Ramanan, Cristian Sminchisescu
ICPR
2008
IEEE
16 years 17 days ago
Double-edge-model based character stroke extraction from complex backgrounds
Global gray-level thresholding techniques such as Otsu’s method, and local gray-level thresholding techniques such as adaptive thresholding method are powerful in extracting cha...
Jing Yu, Lei Huang, Changping Liu
ICCV
2007
IEEE
16 years 8 months ago
Efficient Mining of Frequent and Distinctive Feature Configurations
We present a novel approach to automatically find spatial configurations of local features occurring frequently on instances of a given object class, and rarely on the background....
Till Quack, Vittorio Ferrari, Bastian Leibe, Luc J...