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CVPR
2010
IEEE
15 years 5 months ago
Online Multiple Instance Learning with No Regret
Multiple instance (MI) learning is a recent learning paradigm that is more flexible than standard supervised learning algorithms in the handling of label ambiguity. It has been u...
Li Mu, James Kwok, Lu Bao-liang
SIGGRAPH
2010
ACM
15 years 2 months ago
Multi-scale image harmonization
Traditional image compositing techniques, such as alpha matting and gradient domain compositing, are used to create composites that have plausible boundaries. But when applied to ...
Kalyan Sunkavalli, Micah K. Johnson, Wojciech Matu...
ICCV
2009
IEEE
1075views Computer Vision» more  ICCV 2009»
16 years 2 months ago
LabelMe video: Building a Video Database with Human Annotations
Currently, video analysis algorithms suffer from lack of information regarding the objects present, their interactions, as well as from missing comprehensive annotated video dat...
Jenny Yuen, Bryan Russell, Ce Liu, Antonio Torralb...
DSSCV
2005
Springer
15 years 3 months ago
From Stochastic Completion Fields to Tensor Voting
Abstract. Several image processing algorithms imitate the lateral interaction of neurons in the visual striate cortex V1 to account for the correlations along contours and lines. H...
Markus van Almsick, Remco Duits, Erik Franken, Bar...
MM
2009
ACM
217views Multimedia» more  MM 2009»
15 years 4 months ago
Label to region by bi-layer sparsity priors
In this work, we investigate how to automatically reassign the manually annotated labels at the image-level to those contextually derived semantic regions. First, we propose a bi-...
Xiaobai Liu, Bin Cheng, Shuicheng Yan, Jinhui Tang...