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» Surrogate data: A novel approach to object detection
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DAGM
2006
Springer
14 years 11 months ago
Phase Based 3D Texture Features
In this paper, we present a novel method for the voxel-wise extraction of rotation and gray-scale invariant features. These features are used for simultaneous segmentation and clas...
Janis Fehr, Hans Burkhardt
CVPR
2008
IEEE
15 years 11 months ago
Incremental learning of nonparametric Bayesian mixture models
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
Ryan Gomes, Max Welling, Pietro Perona
DOCENG
2009
ACM
15 years 4 months ago
Object-level document analysis of PDF files
The PDF format is commonly used for the exchange of documents on the Web and there is a growing need to understand and extract or repurpose data held in PDF documents. Many system...
Tamir Hassan
CVPR
2009
IEEE
16 years 5 months ago
Learning to Track with Multiple Observers
We propose a novel approach to designing algorithms for object tracking based on fusing multiple observation models. As the space of possible observation models is too large for...
Björn Stenger, Roberto Cipolla, Thomas Woodle...
ICPR
2008
IEEE
15 years 11 months ago
Manifold optimisation for motion factorisation
This paper presents a novel formulation for the popular factorisation based solution for Structure from Motion. Since our measurement matrices are populated with incomplete and in...
Appu Shaji, David Suter, Sharat Chandran