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106
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CORR
2010
Springer
163views Education» more  CORR 2010»
15 years 26 days ago
Distributed Principal Component Analysis for Wireless Sensor Networks
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
Yann-Aël Le Borgne, Sylvain Raybaud, Gianluca...
89
Voted
COGSCI
2008
74views more  COGSCI 2008»
15 years 26 days ago
Optimal Predictions in Everyday Cognition: The Wisdom of Individuals or Crowds?
Griffiths and Tenenbaum (2006) asked individuals to make predictions about the duration or extent of everyday events (e.g., cake baking times), and reported that predictions were ...
Michael C. Mozer, Harold Pashler, Hadjar Homaei
FSS
2007
102views more  FSS 2007»
15 years 21 days ago
Extraction of fuzzy rules from support vector machines
The relationship between support vector machines (SVMs) and Takagi–Sugeno–Kang (TSK) fuzzy systems is shown. An exact representation of SVMs as TSK fuzzy systems is given for ...
Juan Luis Castro, L. D. Flores-Hidalgo, Carlos Jav...
121
Voted
INFOCOM
2010
IEEE
14 years 11 months ago
Two Samples are Enough: Opportunistic Flow-level Latency Estimation using NetFlow
—The inherent support in routers (SNMP counters or NetFlow) is not sufficient to diagnose performance problems in IP networks, especially for flow-specific problems where the ...
Myungjin Lee, Nick G. Duffield, Ramana Rao Kompell...
IV
2010
IEEE
150views Visualization» more  IV 2010»
14 years 11 months ago
A 3D Visualization Technique for Large Scale Time-Varying Data
We represent time-varying data as polyline charts very often. At the same time, we often need to observe hundreds or even thousands of time-varying values in one chart. However, i...
Maiko Imoto, Takayuki Itoh