@inbook{b2a5e43fe93f4605b87c2441eb3cbc73,
title = "Functional Canonical Analysis Between Functional and Interval Data",
abstract = "In this study we discuss the functional canonical correlation analysis between the functional data and the interval data. To address the interval data, a representative is of necessity. Based on the work by Chavent et al. (2002), the representative can be derived by using the Hausdorff distance between intervals. The canonical analysis can be either the mixed functional-multivariate canonical correlation analysis or a pure functional one. This approach is then applied to the roadside vehicle detection by using Radar devices. It can be observed that the weight functions implicitly contain the information about the distances between the specific lane and the detector.",
keywords = "Canonical Correlation Analysis (CCA), Interval data, Functional data",
author = "Yow-Jen Jou and Chien-Chia Huang and Wu, {Jennifer Yuh Jen}",
year = "2009",
month = sep,
day = "25",
doi = "10.1063/1.3225345",
language = "English",
isbn = "978-0-7354-0685-8",
volume = "1148",
series = "AIP Conference Proceedings",
pages = "453--457",
editor = "G Maroulis and TE Simos",
booktitle = "COMPUTATIONAL METHODS IN SCIENCE AND ENGINEERING, VOL 2: ADVANCES IN COMPUTATIONAL SCIENCE",
note = "6th International Conference on Computational Methods in Sciences and Engineering 2008, ICCMSE 2008 ; Conference date: 25-09-2008 Through 30-09-2008",
}