Bag of Class Posteriors, a new multivariate time series classifier applied to animal behaviour identification. Issue 7 (1st May 2015)

• Record Type: Journal Article
• Authors: Smith, Daniel; Dutta, Ritaban; Hellicar, Andrew; Bishop-Hurley, Greg; Rawnsley, Richard; Henry, David; Hills, James; Timms, Greg
• Is Part Of: Expert systems with applications. Volume 42:Issue 7(2015)
• Page Start: 3774
• Page End: 3784
• Publication Date: 2015-05-01
• Subjects: Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2014.11.033
• Languages: English
• ISSNs: 0957-4174

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st140">Highlights</title> <sec> <p id="sp005"> <list id="l0005"> <list-item id="u0005"> <label></label> <p id="p0295">A new multi-scale time series classifier is proposed using class posterior estimates.</p> </list-item> <list-item id="u0010"> <label></label> <p id="p0300">The classifier infers a large set of animal behaviour using motion based time series.</p> </list-item> <list-item id="u0015"> <label></label> <p id="p0305">The proposed classifier outperforms benchmark classifiers by between 43% and 77%.</p> </list-item> <list-item id="u0020"> <label></label> <p id="p0310">The proposed classifier is found to be more efficient than the Bag of Features model.</p> </list-item> </list> </p> </sec> </abstract>