INTRODUCTION Correction of rigid head motion correction is important in diffusion tensor imaging because of the long acquisition times. Rigid head correction can be carried out either retrospectively prospectively. In this study, we compared the effectiveness of these two approaches in correcting motion artifacts in DTI. Retrospective correction was based on MR-based navigator data (1-3), whils...

In this paper, we investigate and experiment the notion of error correction memory applied to error correction in technical texts. The main purpose is to induce relatively generic correction patterns associated with more contextual correction recommendations, based on previously memorized and analyzed corrections. The notion of error correction memory is developed within the framework of the LE...

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near-surface variations can be very complex and may distort amplitudes and arrival times of the reflections events from target reflectors. near-surface complexities include topographic variations, near-surface irregularities, variations in soil conditions and the weathered layer. these perturbations generally have a significant impact on seismic recordings. although there is a general agreement...

Slant correction is a preprocessing technique to improve segmentation and recognition accuracy for handwritten word recognition. All conventional slant correction techniques were performed by the estimation of the average slant angle and the shear transformation. In this paper, a nonuniform slant correction technique for handwritten word recognition is proposed where the slant correction proble...

We performed corpus correction on an annotated corpus for machine translation using machine-learning methods such as the maximum-entropy method. We thus constructed a high-quality annotated corpus based on corpus correction. We compared several di erent methods of corpus correction in our experiments and developed a suitable method for correction. Recently, corpus-based machine translation has ...

This paper focuses on selection techniques for best correction of misspelt words at the lexical level. Spelling errors are introduced by either cognitive or typographical mistakes. A robust spelling correction algorithm is needed to cover both cognitive and typographical errors. For the most effective spelling correction system, various strategies are considered in this paper: ranking heuristic...

This paper explores the use of a character segment based character correction model, language modeling, and shallow morphology for Arabic OCR error correction. Experimentation shows that character segment based correction is superior to single character correction and that language modeling boosts correction, by improving the ranking of candidate corrections, while shallow morphology had a smal...

Results For the 22 symmetric CAD TLSOs, initial in brace correction of thoracic curves was 9.1 degrees, with average out of brace thoracic curve 25.2 degrees, and lumbar curve correction of 10.3 degrees, with average out of brace lumbar curve 27.8 degrees. The percentage of correction in CAD versions was 36.1% thoracic, and 37.1% lumbar. For the 12 asymmetric, TLSOs molded supine with manipulat...

In this paper, a type of multi-level correction scheme is proposed to solve eigenvalue problems by the finite element method. This type of multilevel correction method includes multi correction steps in a sequence of finite element spaces. In each correction step, we only need to solve a source problem on a finer finite element space and an eigenvalue problem on the coarsest finite element spac...