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CAIP
2011
Springer
253views Image Analysis» more  CAIP 2011»
13 years 11 months ago
Detection of Retinal Vascular Bifurcations by Trainable V4-Like Filters
Abstract. The detection of vascular bifurcations in retinal fundus images is important for finding signs of various cardiovascular diseases. We propose a novel method to detect su...
George Azzopardi, Nicolai Petkov
ACL
2006
15 years 1 months ago
A Bootstrapping Approach to Unsupervised Detection of Cue Phrase Variants
We investigate the unsupervised detection of semi-fixed cue phrases such as "This paper proposes a novel approach. . . 1" from unseen text, on the basis of only a handfu...
Rashid M. Abdalla, Simone Teufel
BILDMED
2011
245views Algorithms» more  BILDMED 2011»
14 years 3 months ago
Clustering-Based Detection of Anatomical Features on Organic Shapes
Abstract. Robust and accurate automatic detection of anatomical features on organic shapes is a challenging task. Despite a rough similarity, each shape is unique. To cope with thi...
Konrad Sickel, Vojtech Bubnik
ISBI
2008
IEEE
16 years 16 days ago
Learning non-homogenous textures and the unlearning problem with application to drusen detection in retinal images
In this work we present a novel approach for learning nonhomogenous textures without facing the unlearning problem. Our learning method mimics the human behavior of selective lear...
Noah Lee, Andrew F. Laine, Theodore R. Smith
CIVR
2007
Springer
185views Image Analysis» more  CIVR 2007»
15 years 6 months ago
Z-grid-based probabilistic retrieval for scaling up content-based copy detection
Scalability is the key issue in making content-based copy detection (CBCD) methods practical for very large image and video databases. Since copies are transformed versions of ori...
Sébastien Poullot, Olivier Buisson, Michel ...