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TMM
2010
241views Management» more  TMM 2010»
14 years 6 months ago
Mining Compositional Features From GPS and Visual Cues for Event Recognition in Photo Collections
As digital cameras with Global Positioning System (GPS) capability become available and people geotag their photos using other means, it is of great interest to annotate semantic e...
Junsong Yuan, Jiebo Luo, Ying Wu
ECCV
2008
Springer
16 years 1 months ago
Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion
Abstract. We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is unsupervised in the sense...
Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, A...
WACV
2005
IEEE
15 years 5 months ago
Mapping the Physical Properties of Cosmic Hot Gas with Hyper-Spectral Imaging
A novel inversion technique is proposed to compute parametric maps showing the temperature, density and chemical composition of cosmic hot gas from X-ray hyper-spectral images. Th...
Mark O'Dwyer, Ela Claridge, Trevor Ponman, Somak R...
ICPR
2002
IEEE
15 years 4 months ago
Multilinear Image Analysis for Facial Recognition
Natural images are the composite consequence of multiple factors related to scene structure, illumination, and imaging. For facial images, the factors include different facial geo...
M. Alex O. Vasilescu, Demetri Terzopoulos
CVPR
2008
IEEE
16 years 1 months ago
Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut
This paper proposes a novel approach to discover a set of class specific "composite features" as the feature pool for the detection and classification of complex objects...
Feng Han, Ying Shan, Harpreet S. Sawhney, Rakesh K...