Online segmentation of time series based on polynomial least-squares approximations

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 32, Issue 12, 2010, Pages 2232-2245

  Fuchs, Erich ^a   Gruber, Thiemo ^b   Nitschke, Jiri ^a   Sick, Bernhard ^b  

^a UNIVERSITY OF PASSAU   (Germany)

^b DEGGENDORF INSTITUTE OF TECHNOLOGY   (Germany)

Author keywords

least squares approximation; online segmentation; orthogonal polynomials; piecewise polynomial representation; SwiftSeg; Time series

Indexed keywords

APPROXIMATION ERRORS; COMPUTATIONAL COSTS; COMPUTATIONAL EFFORT; DATA STREAMING; LEAST SQUARE; NOVEL TECHNIQUES; OFFLINE; ONLINE SEGMENTATION; ONLINE TECHNIQUE; ONLINE TIME; ORTHOGONAL EXPANSION; ORTHOGONAL POLYNOMIAL; PIECEWISE POLYNOMIAL REPRESENTATION; RUNTIMES; SWIFTSEG; TIME WINDOWS;

DATA REDUCTION; ORTHOGONAL FUNCTIONS; POLYNOMIAL APPROXIMATION; TIME SERIES; VEHICLE ROUTING;

LEAST SQUARES APPROXIMATIONS;

EID: 78049526879     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2010.44     Document Type: Article

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