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WAPCV
2004
Springer
15 years 9 months ago
Learning of Position-Invariant Object Representation Across Attention Shifts
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Muhua Li, James J. Clark
IJCNN
2006
IEEE
15 years 10 months ago
Data Fusion for Outlier Detection through Pseudo-ROC Curves and Rank Distributions
— This paper proposes a novel method of fusing models for classification of unbalanced data. The unbalanced data contains a majority of healthy (negative) instances, and a minor...
Paul F. Evangelista, Mark J. Embrechts, Boleslaw K...
WIOPT
2010
IEEE
15 years 2 months ago
Enhancing RRM optimization using a priori knowledge for automated troubleshooting
—The paper presents a methodology that combines statistical learning with constraint optimization by locally optimizing Radio Resource Management (RRM) or system parameters of po...
Moazzam Islam Tiwana, Zwi Altman, Berna Sayra&cced...
ICDE
2006
IEEE
181views Database» more  ICDE 2006»
16 years 5 months ago
Adaptive Reorganization of Coherency-Preserving Dissemination Tree for Streaming Data
In many recent applications, data are continuously being disseminated from a source to a set of servers. In this paper, we propose a cost-based approach to construct dissemination...
Yongluan Zhou, Beng Chin Ooi, Kian-Lee Tan, Feng Y...
ICC
2007
IEEE
105views Communications» more  ICC 2007»
15 years 10 months ago
A QoS-Based Scheme for Planning and Dimensioning of Optical Label Switched Networks
— To support the growing demand for transmission, Optical Label Switching (OLS) technology seems to be attractive due to its ability to allow fast switching and Quality of Servic...
Yassine Khlifi, Noureddine Boudriga, Mohammad S. O...