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» Learning Features by Contrasting Natural Images with Noise
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CCCG
2009
13 years 9 months ago
Computational Geometry of Contour Extraction
We present a method for extracting contours from digital images using techniques from computational geometry. Our approach is different from traditional pixelbased methods in imag...
Pedro J. Tejada, Xiaojun Qi, Minghui Jiang
PAA
2010
13 years 6 months ago
Exploiting visual and text features for direct marketing learning in time and space constrained domains
Traditionally, direct marketing companies have relied on pre-testing to select the best offers to send to their audiences. Companies systematically dispatch the offers under consid...
Sebastiano Battiato, Giovanni Maria Farinella, Gio...
MICCAI
2010
Springer
13 years 5 months ago
Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images
Abstract. Even with the recent advances in multidetector computed tomography (MDCT) imaging techniques, detection of calcified coronary lesions remains a highly tedious task. Noise...
Sushil Mittal, Yefeng Zheng, Bogdan Georgescu, Fer...
ICIP
2008
IEEE
14 years 9 months ago
Supervised image segmentation via ground truth decomposition
This paper proposes a data driven image segmentation algorithm, based on decomposing the target output (ground truth). Classical pixel labeling methods utilize machine learning al...
Ilya Levner, Russell Greiner, Hong Zhang
ICCV
2003
IEEE
14 years 9 months ago
Learning a Classification Model for Segmentation
We propose a two-class classification model for grouping. Human segmented natural images are used as positive examples. Negative examples of grouping are constructed by randomly m...
Xiaofeng Ren, Jitendra Malik