Data mining is the procedure of extracting or taking out the information from the huge set of data. Web Mining is an important application of data mining, which is to extract knowledge from Web data including Web documents, hyperlinks, usage logs of web sites, etc. A Web Page contains many blocks such as content blocks, copyrights, privacy notes and advertisements. These blocks like advertiseme...

Many approaches exist for alphanumeric data acquisition from images, however very few make mention of engraved text and none to the knowledge of the author make mention of cemetery headstones. The ability to extract the textual information found on headstones is of great importance due to the valuable historical information that is, in most cases, authoritative and unique to that stone. Multipl...

The regional engineering geological conditions and geological hazard evaluation is the important part of realizing the railway geological selection, However, the accuracy of the evaluation largely depends on the reliability of basic information and reasonable mathematical model. Remote sensing provides reliable geological information and accurately reflects the geological conditions along the r...

A typical news web page consists of news articles. Along with the news article content tags, it also contains tags of navigation links, privacy & copyright information and advertisements. These tags are called as noise tags. Given an online news article in html form, existing works extract articles by discovering informative tags using various heuristic techniques. In this paper, we follow an a...

This paper focuses on the problem of multiplicative noise removal. We draw our inspiration from the modeling of speckle noise. By using a MAP estimator, we can derive a functional whose minimizer corresponds to the denoised image we want to recover. Although the functional is not convex, we prove the existence of a minimizer and we show the capability of our model on some numerical examples. We...

To avoid distorting the visual information in an image, smoothing algorithms must preserve the details. However, some fine details are frequently treated as noise by general smoothing filters. In such situations,we encounter the problem of ambiguity or uncertainty between noise and fine details. A new nonlinear smoothing method using fuzzy reasoning techniques is proposed. Fuzzy set theory [1,2...

A reliable speech enhancement method is important for speech applications as a pre-processing step to improve their overall performance. In this paper, we propose a novel frequency domain method for single channel speech enhancement. Conventional frequency domain methods usually neglect the correlation between neighboring time-frequency components of the signals. In the proposed method, we take...