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CVPR
2005
IEEE
16 years 9 months ago
A Semi-Supervised Active Learning Framework for Image Retrieval
Although recent studies have shown that unlabeled data are beneficial to boosting the image retrieval performance, very few approaches for image retrieval can learn with labeled a...
Steven C. H. Hoi, Michael R. Lyu
CVPR
2007
IEEE
16 years 9 months ago
On the Direct Estimation of the Fundamental Matrix
The fundamental matrix is a central construct in the analysis of images captured from a pair of cameras and many feature-based methods have been proposed for its computation. In t...
Yaser Sheikh, Asaad Hakeem, Mubarak Shah
ECCV
1992
Springer
16 years 8 months ago
Boundary Detection in Piecewise Homogeneous Textured Images
We address the problem of scale selection in texture analysis. Two di erent scale parameters, feature scale and statistical scale, are dened. Statistical scale is the size of the r...
Stefano Casadei, Sanjoy K. Mitter, Pietro Perona
ICML
2006
IEEE
16 years 7 months ago
Bayesian learning of measurement and structural models
We present a Bayesian search algorithm for learning the structure of latent variable models of continuous variables. We stress the importance of applying search operators designed...
Ricardo Silva, Richard Scheines
ICML
2001
IEEE
16 years 7 months ago
Constrained K-means Clustering with Background Knowledge
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...
Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan ...