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AI
2002
Springer
13 years 8 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
CVPR
2009
IEEE
1468views Computer Vision» more  CVPR 2009»
15 years 4 months ago
Hardware-Efficient Belief Propagation
Belief propagation (BP) is an effective algorithm for solving energy minimization problems in computer vision. However, it requires enormous memory, bandwidth, and computation beca...
Chao-Chung Cheng, Chia-Kai Liang, Homer H. Chen, L...
PPOPP
2009
ACM
14 years 9 months ago
Efficient and scalable multiprocessor fair scheduling using distributed weighted round-robin
Fairness is an essential requirement of any operating system scheduler. Unfortunately, existing fair scheduling algorithms are either inaccurate or inefficient and non-scalable fo...
Tong Li, Dan P. Baumberger, Scott Hahn
CVPR
2008
IEEE
14 years 10 months ago
3D surface models by geometric constraints propagation
This paper proposes a technique for estimating piecewise planar models of objects from their images and geometric constraints. First, assuming a bounded noise in the localization ...
Michela Farenzena, Andrea Fusiello
ASIAMS
2007
IEEE
14 years 3 months ago
Broadcasting in (n, k)-Arrangement Graph Based on an Optimal Spanning Tree
The tree structure has received much interest as a versatile architecture for a large class of parallel processing applications. Spanning trees in particular are essential tools f...
Jingli Li, Yonghong Xiang, Manli Chen, Yongheng Zh...