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» Image Annotation by Learning Rules from Regions Patterns
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PR
2007
102views more  PR 2007»
13 years 4 months ago
A robust incremental learning framework for accurate skin region segmentation in color images
In this paper, we propose a robust incremental learning framework for accurate skin region segmentation in real-life images. The proposed framework is able to automatically learn ...
Bin Li, Xiangyang Xue, Jianping Fan
ICPR
2008
IEEE
14 years 6 months ago
Extraction of shoe-print patterns from impression evidence using Conditional Random Fields
Impression evidence in the form of shoe-prints are commonly found in crime scenes. A critical step in automatic shoe-print identification is extraction of the shoe-print pattern. ...
Sargur N. Srihari, Veshnu Ramakrishnan
ANOR
2010
82views more  ANOR 2010»
13 years 5 months ago
Time-based detection of changes to multivariate patterns
Detection of changes to multivariate patterns is an important topic in a number of different domains. Modern data sets often include categorical and numerical data and potentially...
Jing Hu, George C. Runger
CIVR
2007
Springer
157views Image Analysis» more  CIVR 2007»
13 years 11 months ago
Using multiple segmentations for image auto-annotation
Automatic image annotation techniques that try to identify the objects in images usually need the images to be segmented first, especially when specifically annotating image reg...
Jiayu Tang, Paul H. Lewis
ICIP
2009
IEEE
14 years 6 months ago
Learning Contextual Rules For Priming Object Categories In Images
In this paper we introduce and exploit the concept of contextual rules in the field of object detection. These rules are defined as associations between different object likelihoo...