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» Comparing segmentations by applying randomization techniques
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MCS
2004
Springer
15 years 2 months ago
A Comparison of Ensemble Creation Techniques
We experimentally evaluate bagging and six other randomization-based approaches to creating an ensemble of decision-tree classifiers. Bagging uses randomization to create multipl...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
CVPR
2006
IEEE
15 years 11 months ago
The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects
This paper addresses the problem of detecting and segmenting partially occluded objects of a known category. We first define a part labelling which densely covers the object. Our ...
John M. Winn, Jamie Shotton
CVPR
2011
IEEE
14 years 1 months ago
A Hierarchical Conditional Random Field Model for Labeling and Segmenting Images of Street Scenes
Simultaneously segmenting and labeling images is a fundamental problem in Computer Vision. In this paper, we introduce a hierarchical CRF model to deal with the problem of labelin...
Qixing Huang, Mei Han, Bo Wu, Sergey Ioffe
ICDAR
2003
IEEE
15 years 2 months ago
A Novel Feature Extraction Technique for the Recognition of Segmented Handwritten Characters
High accuracy character recognition techniques can provide useful information for segmentation-based handwritten word recognition systems. This research describes neural network-b...
Michael Blumenstein, Brijesh Verma, H. Basli
TCSV
2002
124views more  TCSV 2002»
14 years 9 months ago
Efficient moving object segmentation algorithm using background registration technique
An efficient moving object segmentation algorithm suitable for real-time content-based multimedia communication systems is proposed in this paper. First, a background registration ...
Shao-Yi Chien, Shyh-Yih Ma, Liang-Gee Chen