In order to evade the keyword filtering, the spammers insert comments into e-mails, such as unusual symbols # or ※, to divide some keywords. In the paper, one keyword filters method for spam via maximum independent sets is presented, and the main contents include: (1) build a matching relation matrix algorithm to help us to improve the performance of maximal independent sets; (2) develop a judg...

We investigate a novel method for speaker verification with non-audible murmur (NAM) segments. NAM is recorded using a special microphone placed on the neck and is hard for other people to hear. We have already reported a method based on a support vector machine (SVM) using NAM segments to use a keyword phrase effectively. To further exploit keyword-specific features, we introduce a global alig...

Abstract Democracy is one of the most contested words in English language. In Africa, these complexities are compounded by question whether democracy a colonial imposition. Cheeseman and Sishuwa provide historiography debates around democracy, track how narratives have developed over time, argue that there widespread public support for form what they call “consensual democracy.” This not to say...

Information retrieval is the most common objective of internet users. For a given query, existing search engines will return a long list of search results ranked by their relevance to the given query. In most of the existing search engines, Page Rank algorithm is used to find the relevance of the documents to the given query. The problem with this method is that it considers only the incoming a...

Keyword retrieval in handwritten document images (word spotting) is very challenging given that OCR accuracy is not yet adequate for handwritten scripts, specially with large lexicons. Various proposed approaches build indices on information such as image features or OCR scores and have improved the performance of the traditional approach that builds index on OCR’ed text. In this paper, we impr...

Characterization of subsets of data is a recurring problem in data mining. We propose a keyword selection method that can be used for obtaining characterizations of clusters of data whenever textual descriptions can be associated with the data. Several methods that cluster data sets or form projections of data provide an order or distance measure of the clusters. If such an ordering of the clus...