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NN
2006
Springer
153views Neural Networks» more  NN 2006»
15 years 6 months ago
An incremental network for on-line unsupervised classification and topology learning
This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity thresholdbased and a local error-based insertion c...
Shen Furao, Osamu Hasegawa
SOCIALCOM
2010
15 years 4 months ago
Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network
Retweeting is the key mechanism for information diffusion in Twitter. It emerged as a simple yet powerful way of disseminating information in the Twitter social network. Even thoug...
Bongwon Suh, Lichan Hong, Peter Pirolli, Ed H. Chi
TSMC
2010
15 years 1 months ago
On Robust Stability of Stochastic Genetic Regulatory Networks With Time Delays: A Delay Fractioning Approach
Robust stability serves as an important regulation mechanism in system biology and synthetic biology. In this paper, the robust stability analysis problem is investigated for a cla...
Yao Wang, Zidong Wang, Jinling Liang
INFOCOM
2011
IEEE
14 years 10 months ago
Connected coverage in wireless networks with directional antennas
—In this paper, we address a new unexplored problem - what are the optimal patterns to achieve connected coverage in wireless networks with directional antennas. As their name im...
Zuoming Yu, Jin Teng, Xiaole Bai, Dong Xuan, Weiji...
INFOCOM
2007
IEEE
16 years 24 days ago
Distributed Low-Complexity Maximum-Throughput Scheduling for Wireless Backhaul Networks
— We introduce a low-complexity distributed slotted MAC protocol that can support all feasible arrival rates in a wireless backhaul network (WBN). For arbitrary wireless networks...
Abdul Kader Kabbani, Theodoros Salonidis, Edward W...