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ICASSP
2007
IEEE
14 years 2 months ago
Integrating Relevance Feedback in Boosting for Content-Based Image Retrieval
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
Jie Yu, Yijuan Lu, Yuning Xu, Nicu Sebe, Qi Tian
ICDM
2009
IEEE
110views Data Mining» more  ICDM 2009»
14 years 2 months ago
Finding Maximal Fully-Correlated Itemsets in Large Databases
—Finding the most interesting correlations among items is essential for problems in many commercial, medical, and scientific domains. Much previous research focuses on finding ...
Lian Duan, William Nick Street
TCSV
2008
195views more  TCSV 2008»
13 years 7 months ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
ECCV
2004
Springer
14 years 9 months ago
Unifying Approaches and Removing Unrealistic Assumptions in Shape from Shading: Mathematics Can Help
This article proposes a solution of the Lambertian Shape From Shading (SFS) problem by designing a new mathematical framework based on the notion of viscosity solutions. The power ...
Emmanuel Prados, Olivier D. Faugeras
TASE
2010
IEEE
13 years 2 months ago
A Semantic Feature Model in Concurrent Engineering
Concurrent engineering (CE) is a methodology applied to product lifecycle development so that high quality, well designed products can be provided at lower prices and in less time....
Yong-Jin Liu, Kam-Lung Lai, Gang Dai, Matthew Ming...