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NN
2006
Springer
153views Neural Networks» more  NN 2006»
14 years 11 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
SIGKDD
2008
149views more  SIGKDD 2008»
14 years 11 months ago
Knowledge discovery from sensor data (SensorKDD)
Wide-area sensor infrastructures, remote sensors, RFIDs, and wireless sensor networks yield massive volumes of disparate, dynamic, and geographically distributed data. As such sen...
Ranga Raju Vatsavai, Olufemi A. Omitaomu, Joao Gam...
SIGPRO
2008
111views more  SIGPRO 2008»
14 years 11 months ago
Extension of the local subspace method to enhancement of speech with colored noise
Based on dynamic features of human speech, the local projection (LP) method has been adapted to the enhancement of speech corrupted by white noise. As an extension of the LP metho...
Junfeng Sun, Jie Zhang, Michael Small
IJNSEC
2007
157views more  IJNSEC 2007»
14 years 11 months ago
Balancing Trust and Incentive in Peer-to-Peer Collaborative System
In order to maximize resource utilization as well as providing trust management in P2P computing environments, we propose a novel framework - Trust-Incentive Service Management (T...
Yu Zhang, Li Lin, Jinpeng Huai
SWARM
2008
SPRINGER
222views Optimization» more  SWARM 2008»
14 years 11 months ago
Biologically inspired redistribution of a swarm of robots among multiple sites
We present a biologically inspired approach to the dynamic assignment and reassignment of a homogeneous swarm of robots to multiple locations, which is relevant to applications lik...
M. Ani Hsieh, Ádám M. Halász,...