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» Online summarization of dynamic time series data
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115
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IDA
2002
Springer
15 years 1 months ago
Online classification of nonstationary data streams
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
Mark Last
ICANN
2009
Springer
15 years 6 months ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
111
Voted
SIGKDD
2008
149views more  SIGKDD 2008»
15 years 1 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...
DAC
2010
ACM
15 years 5 months ago
Automated compact dynamical modeling: an enabling tool for analog designers
In this paper we summarize recent developments in compact dynamical modeling for both linear and nonlinear systems arising in analog applications. These techniques include methods...
Bradley N. Bond, Luca Daniel
ICONIP
2004
15 years 3 months ago
Signature Verification Using Static and Dynamic Features
Abstract. A signature verification algorithm based on static and dynamic features of online signature data is presented. Texture and topological features are the static features of...
Mayank Vatsa, Richa Singh, Pabitra Mitra, Afzel No...