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ICPR
2006
IEEE
16 years 7 months ago
Background Robust Object Labeling by Voting of Weight-Aggregated Local Features
In this paper, we present a new voting-based object labeling method that is robust to background clutter. The conventional simple voting method shows very poor performance under c...
In-So Kweon, Kuk-Jin Yoon, Sungho Kim
ICPR
2006
IEEE
16 years 7 months ago
High Accuracy Handwritten Chinese Character Recognition Using Quadratic Classifiers with Discriminative Feature Extraction
We aim to improve the accuracy of handwritten Chinese character recognition using two advanced techniques: discriminative feature extraction (DFE) and discriminative learning quad...
Cheng-Lin Liu
ICPR
2006
IEEE
16 years 7 months ago
Stroke Segmentation of Chinese Characters Using Markov Random Fields
This paper presents Markov random fields (MRFs) to segment strokes of Chinese characters. The distortions caused by the thinning process make the thinning-based stroke segmentatio...
Jia Zeng, Zhi-Qiang Liu
ICPR
2004
IEEE
16 years 7 months ago
A Bayesian Approach for 3D Models Retrieval Based on Characteristic Views
The management of big databases of threedimensional models (used in CAD applications, visualization, games, etc.) is a very important domain. The ability to characterize and easil...
Jean-Philippe Vandeborre, Mohamed Daoudi, Tarik Fi...
ICPR
2004
IEEE
16 years 7 months ago
Learning High-level Independent Components of Images through a Spectral Representation
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...
Aapo Hyvärinen, Jussi T. Lindgren
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