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» Tuning experiments with an adaptive computational framework
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ECCV
2008
Springer
14 years 9 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...
ICSE
1998
IEEE-ACM
13 years 12 months ago
An Adaptable Generation Approach to Agenda Management
As software engineering efforts move to more complex, distributed environments, coordinating the activities of people and tools becomes very important. While groupware systems add...
Eric K. McCall, Lori A. Clarke, Leon J. Osterweil
ICCV
2005
IEEE
14 years 9 months ago
Mutual Information Regularized Bayesian Framework for Multiple Image Restoration
to appear in Proc. IEEE International Conference on Computer Vision (ICCV), 2005 Bayesian methods have been extensively used in various applications. However, there are two intrin...
Yunqiang Chen, Hongcheng Wang, Tong Fang, Jason Ty...
MM
2003
ACM
161views Multimedia» more  MM 2003»
14 years 28 days ago
Integrated power management for video streaming to mobile handheld devices
Optimizing user experience for streaming video applications on handheld devices is a significant research challenge. In this paper, we propose an integrated power management appr...
Shivajit Mohapatra, Radu Cornea, Nikil D. Dutt, Al...
CGI
2004
IEEE
13 years 11 months ago
An Adaptive Sampling Method for Layered Depth Image
Sampling issue is an important problem in image based rendering. In this paper, we propose an adaptive sampling method to improve the Layered Depth Image framework. Different from...
Ravinder Namboori, Hung Chuan Teh, Zhiyong Huang