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TKDE
2008
158views more  TKDE 2008»
13 years 7 months ago
Hierarchical Clustering of Time-Series Data Streams
This paper presents a time series whole clustering system that incrementally constructs a tree-like hierarchy of clusters, using a top-down strategy. The Online Divisive-Agglomera...
Pedro Pereira Rodrigues, João Gama, Jo&atil...
KDD
2009
ACM
187views Data Mining» more  KDD 2009»
14 years 8 months ago
New ensemble methods for evolving data streams
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...
Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes...
ICMCS
2006
IEEE
143views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Person Tracking in Smart Rooms using Dynamic Programming and Adaptive Subspace Learning
We present a robust vision system for single person tracking inside a smart room using multiple synchronized, calibrated, stationary cameras. The system consists of two main compo...
ZhenQiu Zhang, Gerasimos Potamianos, Stephen M. Ch...
TNN
2008
132views more  TNN 2008»
13 years 7 months ago
Just-in-Time Adaptive Classifiers - Part I: Detecting Nonstationary Changes
Abstract--The stationarity requirement for the process generating the data is a common assumption in classifiers' design. When such hypothesis does not hold, e.g., in applicat...
Cesare Alippi, Manuel Roveri
AUTOMATICA
2007
145views more  AUTOMATICA 2007»
13 years 7 months ago
Decentralized adaptive output-feedback stabilization for large-scale stochastic nonlinear systems
In this paper, the problem of decentralized adaptive output-feedback stabilization is investigated for large-scale stochastic nonlinear systems with three types of uncertainties, ...
Shu-Jun Liu, Ji-Feng Zhang, Zhong-Ping Jiang