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» A Probability Model for Image Annotation
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ICIP
2006
IEEE
16 years 3 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
ICCV
2007
IEEE
15 years 8 months ago
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval
Given a query image of an object, our objective is to retrieve all instances of that object in a large (1M+) image database. We adopt the bag-of-visual-words architecture which ha...
Ondrej Chum, James Philbin, Josef Sivic, Michael I...
CVPR
2005
IEEE
16 years 4 months ago
Multimodal Face Recognition: Combination of Geometry with Physiological Information
It is becoming increasingly important to be able to credential and identify authorized personnel at key points of entry. Such identity management systems commonly employ biometric...
Ioannis A. Kakadiaris, Georgios Passalis, Theohari...
ICIP
2003
IEEE
16 years 3 months ago
Statistical atlas-based sub-voxel segmentation of 3D brain MRI
We present a 3D brain MRI segmentation method in which a high resolution label image evolves under the influence of multiple constraints. The constraints are expressed in a versat...
Marcel Bosc, Fabrice Heitz, Jean-Paul Armspach
PAMI
2010
260views more  PAMI 2010»
15 years 11 days ago
Unsupervised Object Segmentation with a Hybrid Graph Model (HGM)
—In this work, we address the problem of performing class-specific unsupervised object segmentation, i.e., automatic segmentation without annotated training images. Object segmen...
Guangcan Liu, Zhouchen Lin, Yong Yu, Xiaoou Tang