This paper deals with the interaction between progressive model adaptation and score normalization strategies which are used for reducing the variation in likelihood ratio scores ...
: In this contribution we present a Learner Model (LM) of Historical Text Comprehension (HTC), which infers the cognitive profile of learner’s global comprehension concerning the...
Grammatiki Tsaganou, Maria Grigoriadou, Theodora C...
Abstract. We present a model for complex documents possibly consisting of a hierarchically structured set of images or texts. Documents are represented both at the form level (as s...
Carlo Meghini, Fabrizio Sebastiani, Umberto Stracc...
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
This paper describes a robust model for on-line handwritten Japanese text recognition. The method evaluates the likelihood of candidate segmentation paths by combining scores of c...
Bilan Zhu, Xiang-Dong Zhou, Cheng-Lin Liu, Masaki ...