--A reliable low-power multiplier design by adopting algorithmic noise tolerant (ANT) architecture with truncated binary multiplier to build the fixed width reduced precision replica redundancy block (RPR). The ANT architecture can meet the high speed, low power, and area efficiency. To design the fixed-width RPR with error compensation circuit via analyzing of probability and statistics. Using...

In this paper, we propose a novel reversible data hiding framework to hide secret data into a binary codestream of VQ indices invertibly, in which matrix encoding is used to efficiently embed secret data, and error correction coding (ECC) is employed for lossless restoration of the marked codestream at the receiver side. Due to the unchanged structure of the codestream during the embedding proc...

This paper addresses the problem of dealing with a collection of labeled training documents, especially annotating negative training documents and presents a method of text classification from positive and unlabeled data. We applied an error detection and correction technique to the results of positive and negative documents classified by the Support Vector Machines (SVM). The results using Reu...

The annotation of documents with linguistic information requires time-consuming and therefore expensive manual annotation. Especially, a complex task, like coreference resolution, needs large data sets for the training of supervised machine learning methods. We present a tool which combines visualization techniques and unsupervised machine learning to support the annotation of documents with co...

A new ensemble of support vector machines (SVM) based on random subspace (RS) and feature selection is developed and applied to the problem of differential diagnosis of erythemato-squamous diseases. Each classifier has a ‘‘favourite’’ class. To find the feature subset for the classifier Di with ‘‘favourite’’ class wi, we calculate the best features to discriminate this class (wi) from all the o...

This study aimed at investigating the effects of grammatical error correction on EFL learners’ accuracy. Twenty-two male and female senior students were chosen randomly to respond to a questionnaire investigating their beliefs about immediate grammatical error correction.  Actually, the study was conducted in order to answer this question: what is the effect of grammatical error feedback on stu...

We present a pronunciation error detection method for second language learners of English (L2 learners). The method is a combination of confidence scoring and landmark-based Support Vector Machines (SVMs). Landmark-based SVMs were implemented to specialize the method for the specific phonemes with which L2 learners make frequent errors. The method was trained for the difficult phonemes for Kore...