Automatic writer identification and writer verification has recently received significant attention in the field of historical analysis. In this work a short overview of current approaches for writer identification is given. Current state-of-the-art results on contemporary data are related to different approaches for writer verification on a small dataset of datum lines extracted from papal cha...

This Article considers a new development in medical practice-the use of medical decision-support tools-and positions it within one of the most enduring debates at the intersection of administrative law and tort law. The Article identifies key factors that policy-makers in medical, environmental, and other contexts use to decide between regulatory and tort approaches to public protection, and ar...

We propose a general method for adapting a writerindependent classifier to an individual writer. We employ a mixture of experts formulation, where the classifiers are trained on weighted clusters of writers. The clusters are determined by which experts classify individual writing correctly. The method adapts by choosing the appropriate combination of classifiers for a new user. It applies to an...

State-of-the-art systems for automatic writer identification from handwritten text are based on two approaches: a statistical approach or a model-based approach. Both approaches have limitations. The main limitation of the statistical approach is that it relies on single-scale statistical features. The main limitation of the model-based approach is that the codebook generation is time-consuming...

In this paper, we present the design, implementation and evaluation of a new distributed shared memory (DSM) coherence model called multiple-writer entry consistency (MEC). MEC combines the eecient communication mechanisms of Lazy Release Consistency (LRC) with the exible data management of the Shared Regions 17, 11] and Entry Consistency (EC) models 5]. This is achieved in MEC by decoupling sy...

Our aim is to achieve writer identification process thanks to a fractal analysis of handwriting style. For each writer, a set of characteristics is extracted. They are specific to the writer. Advantage is taken from the autosimilarity properties that are present in one’s handwriting. In order to do that, some invariant patterns characterizing the writing are extracted. During the training step ...

This paper presents a detailed comparison of the relative importance of allowing concurrent writers versus the choice of the underlying consistency model. Our comparison is based on single-and multiple-writer versions of a lazy release consistent (LRC) protocol, and a single-writer sequentially consistent protocol, all implemented in the CVM software distributed shared memory system. We nd that...

This work presents some reflections on writer Jorge Amado in Portugal, taking by north Navegação de cabotagem (1994). In this memoir, reports a series of events his interaction with Portuguese intellectuals, artists and writers relationship the city Lisbon, which was initially marked prohibition communist entering country. Reports are commented article that bring images representations importan...

This project generates random text based on the patterns of characters in a source file. By analyzing given text for character patterns, random characters can be selected according to the likelihood that it follows any given length k of characters, and the resulting generated text is then outputted to a file. Based on the length k chosen for these ”seeds” of characters, different levels of anal...