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90
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CVPR
2008
IEEE
16 years 2 months ago
Multiple-instance ranking: Learning to rank images for image retrieval
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
Yang Hu, Mingjing Li, Nenghai Yu
110
Voted
ICCV
2007
IEEE
16 years 2 months ago
Half Quadratic Analysis for Mean Shift: with Extension to A Sequential Data Mode-Seeking Method
Theoretical understanding and extension of mean shift procedure has received much attention recently [8, 18, 3]. In this paper, we present a theoretical exploration and an algorit...
Xiaotong Yuan, Stan Z. Li
122
Voted
ECCV
2008
Springer
16 years 2 months ago
Output Regularized Metric Learning with Side Information
Distance metric learning has been widely investigated in machine learning and information retrieval. In this paper, we study a particular content-based image retrieval application ...
Wei Liu, Steven C. H. Hoi, Jianzhuang Liu
ECCV
2002
Springer
16 years 2 months ago
Linear Pose Estimation from Points or Lines
Estimation of camera pose from an image of n points or lines with known correspondence is a thoroughly studied problem in computer vision. Most solutions are iterative and depend o...
Adnan Ansar, Konstantinos Daniilidis
76
Voted
ECCV
2002
Springer
16 years 2 months ago
A Probabilistic Theory of Occupancy and Emptiness
This paper studies the inference of 3D shape from a set of ? noisy photos. We derive a probabilistic framework to specify what one can infer about 3D shape for arbitrarily-shaped, ...
Rahul Bhotika, David J. Fleet, Kiriakos N. Kutulak...