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ACCV
2010
Springer
13 years 9 days ago
Unsupervised Selective Transfer Learning for Object Recognition
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
ASIACRYPT
2008
Springer
13 years 7 months ago
Universally Composable Adaptive Oblivious Transfer
In an oblivious transfer (OT) protocol, a Sender with messages M1, . . . , MN and a Receiver with indices 1, . . . , k [1, N] interact in such a way that at the end the Receiver ...
Matthew Green, Susan Hohenberger
ECCV
2008
Springer
14 years 7 months ago
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks
Abstract. Building visual recognition models that adapt across different domains is a challenging task for computer vision. While feature-learning machines in the form of hierarchi...
Amr Ahmed, Kai Yu, Wei Xu, Yihong Gong, Eric P. Xi...
ICDM
2009
IEEE
169views Data Mining» more  ICDM 2009»
13 years 3 months ago
Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer Classification
There are many clustering tasks which are closely related in the real world, e.g. clustering the web pages of different universities. However, existing clustering approaches neglec...
Quanquan Gu, Jie Zhou
MM
2009
ACM
178views Multimedia» more  MM 2009»
13 years 11 months ago
Semantic context transfer across heterogeneous sources for domain adaptive video search
Automatic video search based on semantic concept detectors has recently received significant attention. Since the number of available detectors is much smaller than the size of h...
Yu-Gang Jiang, Chong-Wah Ngo, Shih-Fu Chang