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» Convergence analysis of convex incremental neural networks
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IPSN
2004
Springer
14 years 25 days ago
Distributed optimization in sensor networks
Wireless sensor networks are capable of collecting an enormous amount of data over space and time. Often, the ultimate objective is to derive an estimate of a parameter or functio...
Michael Rabbat, Robert D. Nowak
RAS
2007
113views more  RAS 2007»
13 years 7 months ago
Visual novelty detection with automatic scale selection
This paper presents experiments with an autonomous inspection robot, whose task was to highlight novel features in its environment from camera images. The experiments used two dif...
Hugo Vieira Neto, Ulrich Nehmzow
ANCS
2009
ACM
13 years 5 months ago
Design and performance analysis of a DRAM-based statistics counter array architecture
The problem of maintaining efficiently a large number (say millions) of statistics counters that need to be updated at very high speeds (e.g. 40 Gb/s) has received considerable re...
Haiquan (Chuck) Zhao, Hao Wang, Bill Lin, Jun (Jim...
GLOBECOM
2008
IEEE
13 years 8 months ago
A Cognitive Framework for Improving Coexistence Among Heterogeneous Wireless Networks
—The proliferation of wireless systems requires that the coexistence between heterogeneous technologies be addressed. This paper presents a cognitive framework in which sensingba...
Stefan Geirhofer, Lang Tong, Brian M. Sadler
IJCNN
2000
IEEE
13 years 12 months ago
Regression Analysis for Rival Penalized Competitive Learning Binary Tree
The main aim of this paper is to develop a suitable regression analysis model for describing the relationship between the index efficiency and the parameters of the Rival Penaliz...
Xuequn Li, Irwin King