Smartphones have enabled effortless capturing and sharing of documents in digital form. The documents, however, often undergo various types degradation due to aging, stains, or shortcoming environment such as shadow, non-uniform lighting, etc., which reduces the comprehensibility document images. In this work, we consider problem image cleanup on embedded applications smartphone apps, usually m...

Author profiling is a text classification technique, which is used to predict the profiles of unknown text by analyzing their writing styles. Author profiles are the characteristics of the authors like gender, age, nativity language, country and educational background. The existing approaches for Author Profiling suffered from problems like high dimensionality of features and fail to capture th...

the goal in information retrieval is to enable users to automatically and accurately retrieve data relevant to their queries. One possible approach to this problem is to use the vector space model, which models documents and queries as vectors in the term space. The components of the vectors are determined by the term weighting scheme. This paper compared between a selected set from the availab...

Multilength variable-weight optical orthogonal codes(MLVWOOCs) are recently proposed for supporting multirate and integrated multimedia services in code division multiple access (OCDMA) networks. Some work had been done on MLVWOOCs with weight set \begin{document}$ W = \{3, 4\} $\end{document}, id="M2">\b...

In pseudo relevance feedback (PRF), the document weight which indicates how important a document is for the PRF model, plays a key role. In this paper, we investigate the smoothness issue of the document weights in PRF. The term smoothness means that the document weights decrease smoothly (i.e. gradually) along the document ranking list, and the weights are smooth (i.e. similar) within topicall...

In web information retrieval, the terms or keywords are used for indexing purpose of document. These terms or keywords appear in special location such as title, subtitle, header, hyperlinks and so on. Vector space model ignores the importance of these terms with respect to their position while calculating the weight of the indexing terms. The effectiveness of the vector space model crucially de...

This paper presents a new approach for automatic document categorization. Exploiting the logical structure of the document, our approach assigns a HTML document to one or more categories (thesis, paper, call for papers, email, ...). Using a set of training documents, our approach generates a set of rules used to categorize new documents. The approach flexibility is carried out with rule weight ...