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CVPR
2006
IEEE
16 years 10 days ago
Semi-Supervised Classification Using Linear Neighborhood Propagation
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong...
ICCV
2007
IEEE
16 years 8 days ago
Learning Auto-Structured Regressor from Uncertain Nonnegative Labels
In this paper, we take the human age and pose estimation problems as examples to study automatic designing regressor from training samples with uncertain nonnegative labels. First...
Shuicheng Yan, Huan Wang, Xiaoou Tang, Thomas S. H...
87
Voted
ICCV
2005
IEEE
16 years 7 days ago
Modeling Scenes with Local Descriptors and Latent Aspects
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to...
Pedro Quelhas, Florent Monay, Jean-Marc Odobez, Da...
ICIP
1998
IEEE
15 years 12 months ago
Invariant-based Data Model for Image Databases
We describe a new invariant-based data model for image databases under our approach for shape-based retrieval. The data model relies on contours description of the image shape, an...
Michael Kliot, Ehud Rivlin
WWW
2007
ACM
15 years 11 months ago
Discovering the best web service
Major research challenges in discovering Web services include, provisioning of services across multiple or heterogeneous registries, differentiating between services that share si...
Eyhab Al-Masri, Qusay H. Mahmoud