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» Image Classification Using Marginalized Kernels for Graphs
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CHI
2009
ACM
14 years 8 months ago
A user study on visualizing directed edges in graphs
Graphs are often visualized using node-link representations: vertices are depicted as dots, edges are depicted as (poly)lines connecting two vertices. A directed edge running from...
Danny Holten, Jarke J. van Wijk
CVPR
2009
IEEE
1096views Computer Vision» more  CVPR 2009»
15 years 2 months ago
How far can you get with a modern face recognition test set using only simple features?
In recent years, large databases of natural images have become increasingly popular in the evaluation of face and object recognition algorithms. However, Pinto et al. previously ...
Nicolas Pinto, James J. DiCarlo, David D. Cox
ECCV
2008
Springer
14 years 9 months ago
Discriminative Learning for Deformable Shape Segmentation: A Comparative Study
Abstract. We present a comparative study on how to use discriminative learning methods such as classification, regression, and ranking to address deformable shape segmentation. Tra...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...
ICIP
2006
IEEE
14 years 9 months ago
Max-Min Central Vein Detection in Retinal Fundus Images
This paper describes a new framework for the automated tracking of the central retinal vein in retinal images. The procedure first computes a binary image of the retinal vasculatur...
Hind Azegrouz, Emanuele Trucco

Publication
400views
13 years 2 months ago
Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting
For quantitative analysis of histopathological images, such as the lymphoma grading systems, quantification of features is usually carried out on single cells before categorizing...
Hui Kong, Metin Gurcan, and Kamel Belkacem-Boussai...