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ICCV
2003
IEEE
14 years 10 months ago
A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...
Fei-Fei Li 0002, Robert Fergus, Pietro Perona
ECCV
2006
Springer
14 years 10 months ago
A Learning Based Approach for 3D Segmentation and Colon Detagging
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...
Zhuowen Tu, Xiang Zhou, Dorin Comaniciu, Luca Bogo...
ICASSP
2009
IEEE
14 years 3 months ago
A semi-supervised learning approach to online audio background detection
We present a framework for audio background modeling of complex and unstructured audio environments. The determination of background audio is important for understanding and predi...
Selina Chu, Shrikanth S. Narayanan, C.-C. Jay Kuo
ECCV
2008
Springer
14 years 10 months ago
Towards Scalable Dataset Construction: An Active Learning Approach
As computer vision research considers more object categories and greater variation within object categories, it is clear that larger and more exhaustive datasets are necessary. How...
Brendan Collins, Jia Deng, Kai Li, Fei-Fei Li 0002
SIGGRAPH
1999
ACM
14 years 23 days ago
A Hierarchical Approach to Interactive Motion Editing for Human-Like Figures
This paper presents a technique for adapting existing motion of a human-like character to have the desired features that are specified by a set of constraints. This problem can b...
Jehee Lee, Sung Yong Shin