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» Object Recognition Using Segmentation for Feature Detection
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IJCV
2007
196views more  IJCV 2007»
15 years 2 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman
ICDAR
2009
IEEE
15 years 9 months ago
Character-SIFT: A Novel Feature for Offline Handwritten Chinese Character Recognition
SIFT descriptor has been widely applied in computer vision and object recognition, but has not been explored in the field of handwritten Chinese character recognition. In this pap...
Zhiyi Zhang, Lianwen Jin, Kai Ding, Xue Gao
113
Voted
CAIP
2005
Springer
160views Image Analysis» more  CAIP 2005»
15 years 8 months ago
Supervised Texture Detection in Images
This paper presents a technique for texture segmentation in images. Providing a small template of a texture of interest results in the image being segmented into regions with simil...
Branislav Micusík, Allan Hanbury
ICASSP
2011
IEEE
14 years 6 months ago
An unconstrained method for lip detection in color images
The use of visual information derived from accurate lip extraction, can provide features invariant to noise perturbation for speech recognition systems and can be also used in a w...
Evangelos Skodras, Nikolaos D. Fakotakis
127
Voted
BMCBI
2008
102views more  BMCBI 2008»
15 years 2 months ago
Fast splice site detection using information content and feature reduction
Background: Accurate identification of splice sites in DNA sequences plays a key role in the prediction of gene structure in eukaryotes. Already many computational methods have be...
A. K. M. A. Baten, Saman K. Halgamuge, Bill C. H. ...