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» Learning a Classification Model for Segmentation
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140
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TVCG
2012
181views Hardware» more  TVCG 2012»
13 years 5 months ago
Interactive Image Segmentation Based on Level Sets of Probabilities
—In this paper, we present a robust and accurate algorithm for interactive image segmentation. The level set method is clearly advantageous for image objects with a complex topol...
Yugang Liu, Yizhou Yu
126
Voted
ICDM
2009
IEEE
107views Data Mining» more  ICDM 2009»
15 years 9 days ago
Naive Bayes Classification of Uncertain Data
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from mea...
Jiangtao Ren, Sau Dan Lee, Xianlu Chen, Ben Kao, R...
119
Voted
MVA
2007
211views Computer Vision» more  MVA 2007»
15 years 4 months ago
Shadow Elimination in Traffic Video Segmentation
Shadow detection is critical for robust and reliable vision-based systems for traffic vision analysis. Shadow points are often misclassified as object points causing errors in loc...
Hong Liu, Jintao Li, Qun Liu, Yueliang Qian
SIAMSC
2008
237views more  SIAMSC 2008»
15 years 2 months ago
A Variational Shape Optimization Approach for Image Segmentation with a Mumford--Shah Functional
We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape opti...
Günay Dogan, Pedro Morin, Ricardo H. Nochetto
136
Voted
IJCAI
2003
15 years 3 months ago
Integrating Background Knowledge Into Text Classification
We present a description of three different algorithms that use background knowledge to improve text classifiers. One uses the background knowledge as an index into the set of tra...
Sarah Zelikovitz, Haym Hirsh