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» A study of Object Evolution
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CVPR
2010
IEEE
16 years 2 months ago
Boundary Learning by Optimization with Topological Constraints
Recent studies have shown that machine learning can improve the accuracy of detecting object boundaries in images. In the standard approach, a boundary detector is trained by mini...
Viren Jain, Benjamin Bollmann, Bobby Kasthuri, Ken...
CVPR
2010
IEEE
16 years 2 months ago
Learning Full Pairwise Affinities for Spectral Segmentation
This paper studies the problem of learning a full range of pairwise affinities gained by integrating local grouping cues for spectral segmentation. The overall quality of the spect...
Tae Hoon Kim (Seoul National University), Kyoung M...

Publication
323views
16 years 1 months ago
Estimation of Location Uncertainty for Scale Invariant Feature Points
Image feature points are the basis for numerous computer vision tasks, such as pose estimation or object detection. State of the art algorithms detect features that are invariant t...
Bernhard Zeisl, Pierre Fite Georgel, Florian Schwe...
HICSS
2010
IEEE
240views Biometrics» more  HICSS 2010»
16 years 1 months ago
Can e-Government Adopters Benefit from a Technology-First Approach? The Case of Egypt Embarking on Service-Oriented Architecture
It seems common sense that “policy matters” in setting up e-government interoperability, mainly because collaboration should be guided by dedicated integration objectives and ...
Ralf Klischewski, Ranwa Abubakr
ICDE
2010
IEEE
249views Database» more  ICDE 2010»
16 years 1 months ago
PARINET: A tunable access method for in-network trajectories
— In this paper we propose PARINET, a new access method to efficiently retrieve the trajectories of objects moving in networks. The structure of PARINET is based on a combination...
Iulian Sandu Popa, Karine Zeitouni, Vincent Oria, ...