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» A Probabilistic Segmentation Scheme
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ICIP
2006
IEEE
16 years 6 months ago
Unsupervised Image Layout Extraction
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
David Liu, Datong Chen, Tsuhan Chen
MICCAI
2008
Springer
16 years 6 months ago
Assessment of Reliability of Multi-site Neuroimaging Via Traveling Phantom Study
Abstract. This paper describes a framework for quantitative analysis of neuroimaging data of traveling human phantoms used for cross-site validation. We focus on the analysis of ma...
Sylvain Gouttard, Martin Styner, Marcel Prastawa...
CVPR
2011
IEEE
15 years 12 days ago
Learning Temporally Consistent Rigidities
We present a novel probabilistic framework for rigid tracking and segmentation of shapes observed from multiple cameras. Most existing methods have focused on solving each of thes...
Jean-Sebastien Franco, Edmond Boyer
146
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ICCV
2011
IEEE
14 years 5 months ago
In Defense of Soft-assignment Coding
In object recognition, soft-assignment coding enjoys computational efficiency and conceptual simplicity. However, its classification performance is inferior to the newly develop...
Lingqiao Liu, Lei Wang, Xinwang Liu
CVPR
2001
IEEE
16 years 7 months ago
3D Object Recognition from Range Images using Local Feature Histograms
This paper explores a view-based approach to recognize free-form objects in range images. We are using a set of local features that are easy to calculate and robust to partial occ...
Bastian Leibe, Bernt Schiele, Günter Hetzel, ...