Building on previous work by Mints, Buchholz and Schwichtenberg, a simplified version of continuous normalization for the untyped λ-calculus and Gödel’s T is presented and analyzed in the coalgebraic framework of non-wellfounded terms with so-called repetition constructors. The primitive recursive normalization function is uniformly continuous w.r.t. the natural metric on non-wellfounded terms....

the mel frequency cepstral coefficients are the most widely used feature in speech recognition but they are very sensitive to noise. in this paper to achieve a satisfactorily performance in automatic speech recognition (asr) applications we introduce a noise robust new set of mfcc vector estimated through following steps. first, spectral mean normalization is a pre-processing which applies to t...

• Source databases can be organized by using several different models, such as the relational model, the object-oriented model, or semistructured models (e.g., XML). • Information stored in a single table in one relational database can be stored in two or more tables in another. This problem is common when source databases show different levels of normalization and also occurs in nonrelational ...

UNLABELLED In current PET/MR systems, the data acquisition paradigm is based on a multistation examination, imaging the patient from hip to head. This strategy has potential limitations, especially in terms of workflow and PET acquisition efficiency. In this work, the technical implementation of simultaneous PET and MR data acquisition with continuous table motion (CTM) is presented. PET and MR...

the aim of this critical appraisal and hazards of surface electromyography (semg) is to enhance the data acquisition quality in voluntary but complex movements, sport and exercise in particular. the methodological and technical registration strategies deal with telemetry and online data acquisition, the placement of the detection electrodes and the choice of the most adequate normalization mode...

Social media texts, such as tweets from Twitter, contain many types of nonstandard tokens, and the number of normalization approaches for handling such noisy text has been increasing. We present a method for automatically extracting pairs of a variant word and its normal form from unsegmented text on the basis of a pair-wise similarity approach. We incorporated the acquired variant-normalizatio...

Tweets often contain a large proportion of abbreviations, alternative spellings, novel words and other non-canonical language. These features are problematic for standard language analysis tools and it can be desirable to convert them to canonical form. We propose a novel text normalization model based on learning edit operations from labeled data while incorporating features induced from unlab...