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SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
14 years 6 months ago
Clustered low rank approximation of graphs in information science applications
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
Berkant Savas, Inderjit S. Dhillon
ACCV
2010
Springer
14 years 10 months ago
Linear Solvability in the Viewing Graph
The Viewing Graph [1] represents several views linked by the corresponding fundamental matrices, estimated pairwise. Given a Viewing Graph, the tuples of consistent camera matrices...
Alessandro Rudi, Matia Pizzoli, Fiora Pirri
152
Voted
ECCV
2002
Springer
16 years 5 months ago
Multi-camera Scene Reconstruction via Graph Cuts
We address the problem of computing the 3-dimensional shape of an arbitrary scene from a set of images taken at known viewpoints. Multi-camera scene reconstruction is a natural gen...
Vladimir Kolmogorov, Ramin Zabih
131
Voted
MICCAI
2008
Springer
16 years 4 months ago
Automatic Image Analysis of Histopathology Specimens Using Concave Vertex Graph
Automatic image analysis of histopathology specimens would help the early detection of blood cancer. The first step for automatic image analysis is segmentation. However, touching ...
Lin Yang, Oncel Tuzel, Peter Meer, David J. For...
117
Voted
CVPR
2006
IEEE
15 years 9 months ago
Active Graph Cuts
This paper adds a number of novel concepts into global s/t cut methods improving their efficiency and making them relevant for a wider class of applications in vision where algor...
Olivier Juan, Yuri Boykov