Despite Wendy Bishop's call for all writing teachers to investigate " the basic commonalities of writing a poem and writing an essay " (190) few of us within the discipline of En-glish have attempted to transgress current intradisciplinary boundaries to reintegrate the seemingly discrete textual practices we associate with either composition-rhetoric or creative writing. In most cases, we have ...

We investigate the uses and limitations of MFCC analysis for feature extraction from music files in the domain of genre recognition. Intra-genre and Inter-genre classification is explored. We implement a method of genre classification based on MFCC extraction, K-means clustering, and KNN analysis. We demonstrate the efficacy of our method through testing, yielding a 99% accuracy rate.

This paper contributes to a facet from the area of Web Information Retrieval that has recently received much attention: The satisfaction of a user’s personal information need with respect to text type, presentation type, or information quality. We imply that such properties can be quantified for all kinds of Web documents, and we subsume them under the term “Web genre” or “genre”. Recent survey...

Existing systems for automatic genre classification follows a supervised framework that extracts genre-specific information from manually-labeled music data and then identifies unknown music data. However, such systems may not be suitable for personal music management, because manually labeling music based on individually-defined genres can be labor intensive and subject to inconsistence from t...

In this paper we would like to contribute to the discussion about genre-enabled applications, currently engaging many genre researchers, by presenting a preliminary assessment of a web add-on devised to augment the result list of general-purpose search engines with genre labels. For this assessment, we use a small collection of web pages manually annotated with genre labels by a large number of...

In this paper, we propose an implementable characterization of genre suitable for automatic genre identification of web pages. This characterization is implemented as an inferential model based on a modified version of Bayes’ theorem. Such a model can deal with genre hybridism and individualization, two important forces behind genre evolution. Results show that this approach is effective and is...

Genre classification means to discriminate between documents by means of their form, their style, or their targeted audience. Put another way, genre classification is orthogonal to a classification based on the documents’ contents. While most of the existing investigations of an automated genre classification are based on news articles corpora, the idea here is applied to arbitrary Web pages. W...

despite the extensive deployment of multi-core architectures in the past few years, the design and optimization of each single processing core is still a fresh field in computing .on the other hand, having a design procedure (used to solve the problems related to the design of a single processing core )makes it possible to apply the proposed solutions to specific-purpose processing cores .the i...