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TSP
2010
14 years 4 months ago
Optimization and analysis of distributed averaging with short node memory
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
ICTAI
2005
IEEE
15 years 3 months ago
Hybrid Learning Neuro-Fuzzy Approach for Complex Modeling Using Asymmetric Fuzzy Sets
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
Chunshien Li, Kuo-Hsiang Cheng, Jiann-Der Lee
ICASSP
2008
IEEE
15 years 4 months ago
Doppler-variant modeling of the vocal tract
A common technique to deploy linear prediction to nonstationary signals is time segmentation and local analysis. In [1], the temporal changes of linear prediction coefficients (L...
Axel Heim, Uli Sorger, Florian Hug
CORR
2010
Springer
91views Education» more  CORR 2010»
14 years 4 months ago
TSDS: high-performance merge, subset, and filter software for time series-like data
Time Series Data Server (TSDS) is a software package for implementing a server that provides fast supersetting, sub-setting, filtering, and uniform gridding of time series-like dat...
Robert S. Weigel, Doug M. Lindholm, A. Wilson, Jer...
SIGMETRICS
2012
ACM
248views Hardware» more  SIGMETRICS 2012»
13 years 3 days ago
Pricing cloud bandwidth reservations under demand uncertainty
In a public cloud, bandwidth is traditionally priced in a pay-asyou-go model. Reflecting the recent trend of augmenting cloud computing with bandwidth guarantees, we consider a n...
Di Niu, Chen Feng, Baochun Li