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» Object recognition using graph spectral invariants
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CVPR
2005
IEEE
14 years 11 months ago
Illumination-Invariant Tracking via Graph Cuts
Illumination changes are a ubiquitous problem in computer vision. They present a challenge in many applications, including tracking: for example, an object may move in and out of ...
Daniel Freedman, Matthew W. Turek
ICPR
2010
IEEE
14 years 1 months ago
Learning an Efficient and Robust Graph Matching Procedure for Specific Object Recognition
We present a fast and robust graph matching approach for 2D specific object recognition in images. From a small number of training images, a model graph of the object to learn is a...
Jerome Revaud, Guillaume Lavoue, Yasuo Ariki, Atil...
ICPR
2008
IEEE
14 years 3 months ago
Model-based visual self-localization using geometry and graphs
In this paper, a geometric approach for global selflocalization based on a world-model and active stereo vision is introduced. The method uses class specific object recognition a...
David Israel Gonzalez-Aguirre, Tamim Asfour, Eduar...
ICML
2009
IEEE
14 years 9 months ago
Deep learning from temporal coherence in video
This work proposes a learning method for deep architectures that takes advantage of sequential data, in particular from the temporal coherence that naturally exists in unlabeled v...
Hossein Mobahi, Ronan Collobert, Jason Weston
GBRPR
2005
Springer
14 years 2 months ago
Towards Unitary Representations for Graph Matching
In this paper we explore how a spectral technique suggested by quantum walks can be used to distinguish non-isomorphic cospectral graphs. Reviewing ideas from the field of quantum...
David Emms, Simone Severini, Richard C. Wilson, Ed...