Sciweavers

6005 search results - page 1024 / 1201
» Graph-Theoretical Methods in Computer Vision
Sort
View
105
Voted
ICVS
2003
Springer
15 years 7 months ago
A Spectral Approach to Learning Structural Variations in Graphs
This paper shows how to construct a linear deformable model for graph structure by performing principal components analysis (PCA) on the vectorised adjacency matrix. We commence b...
Bin Luo, Richard C. Wilson, Edwin R. Hancock
111
Voted
ICPR
2002
IEEE
15 years 7 months ago
Contour Features for Colposcopic Image Classification by Artificial Neural Networks
This article presents colposcopic image classification based on contour parameters used in a comparison study of different artificial neural networks and the knearest neighbors re...
Isabelle Claude, Renaud Winzenrieth, Philippe Poul...
122
Voted
ICIP
2010
IEEE
15 years 18 days ago
Rotating sensor-matrix camera calibration
Panoramic images and panoramic cameras (or sensors) are of increasing importance for various applications in computer vision, computer graphics, visualization, and robotics. Vario...
Fay Huang, Reinhard Klette, Ju-Chi Tien, Yin-Wei C...
123
Voted
NAR
2011
211views Computer Vision» more  NAR 2011»
14 years 5 months ago
DIMA 3.0: Domain Interaction Map
Domain Interaction MAp (DIMA, available at http:// webclu.bio.wzw.tum.de/dima) is a database of predicted and known interactions between protein domains. It integrates 5807 struct...
Qibin Luo, Philipp Pagel, Baiba Vilne, Dmitrij Fri...
ECCV
2008
Springer
16 years 4 months ago
Sparse Long-Range Random Field and Its Application to Image Denoising
Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...
Yunpeng Li, Daniel P. Huttenlocher
« Prev « First page 1024 / 1201 Last » Next »