A large margin approach for writer independent online handwriting classification | Yahoo! ResearchSource: Pattern Recognition Letters, Elsevier, Volume 29, Issue 7, p.5 (2008) Abstract: This paper proposes a new approach for classifying multivariate time-series with applications to the problem of writer independent online handwritten character recognition. Each time-series is approximated by a sum of piecewise polynomials in a suitably defined Reproducing Kernel Hilbert Space (RKHS). Using the
