A kernel-based approach to estimating phase shifts between irregularly sampled time series: An application to gravitational lenses

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4212 LNAI, Issue , 2006, Pages 614-621

  Cuevas Tello, Juan C ^a,b   Tiňo, Peter ^a   Raychaudhury, Somak ^a  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^b UNIVERSIDAD AUTÓNOMA DE SAN LUIS POTOSÍ   (Mexico)

Author keywords

Kernel methods; Regression; Time series

Indexed keywords

GAUSSIAN NOISE (ELECTRONIC); IMAGE ANALYSIS; PARAMETER ESTIMATION; REGRESSION ANALYSIS; TIME SERIES ANALYSIS;

GAUSSIAN KERNELS; KERNEL METHODS; OPTICAL FREQUENCIES; TIME SERIES;

PHASE SHIFT;

EID: 33750351321     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11871842_59     Document Type: Conference Paper

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