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144
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ECCV
2008
Springer
16 years 5 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...
134
Voted
ICML
1997
IEEE
16 years 4 months ago
Predicting Multiprocessor Memory Access Patterns with Learning Models
Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli...
135
Voted
IJCNN
2008
IEEE
15 years 10 months ago
Adaptation of barn owl localization system with spike timing dependent plasticity
— To localize a seen object, the superior colliculus of the barn owl integrates the visual and auditory localization cues which are accessed from the sensory system of the brain....
Juan Huo, Alan F. Murray, Leslie Smith, Zhijun Yan...
157
Voted
INFOCOM
2008
IEEE
15 years 10 months ago
Modeling Resource Sharing Dynamics of VoIP Users over a WLAN Using a Game-Theoretic Approach
—We consider a scenario in which users share an access point and are mainly interested in VoIP applications. Each user is allowed to adapt to varying network conditions by choosi...
Edson H. Watanabe, Daniel S. Menasché, Edmu...
115
Voted
ISNN
2007
Springer
15 years 9 months ago
Hybrid Intelligent Modeling Approach for the Ball Mill Grinding Process
Modeling for the ball mill grinding process is still an imperative but difficult problem for the optimal control of mineral processing industry. Due to the integrated complexities ...
Ming Tie, Jing Bi, Yushun Fan