In this paper, we present a survey on the application of recurrent neural networks to the task
of statistical language modeling. Although it has been shown that these models obtain good …

Handwriting is one of the most common types of questioned writing encountered and
frequently attracts the attention in litigation. Contrary to the physiological characteristics …

In this work we propose a method for simultaneously learning features and a corresponding
similarity metric for person re-identification. We present a deep convolution architecture with …

This chapter provides the background material and literature review for supervised
sequence labelling. Section 2.1 briefly reviews supervised learning in general. Section 2.2 …

Given an image of a handwritten word, a CNN is employed to estimate its n-gram frequency
profile, which is the set of n-grams contained in the word. Frequencies for unigrams, bigrams …

This paper describes the Online Arabic handwritingrecognition competition held at ICDAR
2009. This firstcompetition uses the ADAB-database with Arabic onlinehandwritten words …

The application of metamodeling technique to overcome computational challenge of Monte
Carlo simulation (MCS) technique for response uncertainty quantification under stochastic …

Researches on handwriting recognition have known a great attention since it has been
considered as a technological revolution in man-machines interfaces especially that …

This paper explores the possibility of extending the input and interactions beyond the small
screen of the mobile device onto ad hoc adjacent surfaces, eg, a wooden tabletop with …

Handwriting and signature biometrics have a long history in the literature, especially in terms
of identity recognition and/or verification; nevertheless, it reveals more information therefore …