In Content-Based Image Retrieval (CBIR) systems, the visual contents of the images in the database are took out and represented by multi-dimensional characteristic vectors. A well known CBIR system that retrieves images by unsupervised method known as cluster based image retrieval system. For enhancing the performance and retrieval rate of CBIR system, we fuse the visual contents of an image. R...

We introduce a method for content-based advertisement selection for personal blog pages, based on combining multiple representations of the blog. The core idea behind the method is that personal blogs represent individuals, whose interests can be modeled by the language used in the blog itself combined with the language used in related sources of information, such as comments posted to a blog p...

The Named Entity Recognition (NER) is identifying name of Person, Location, Organization etc. in a given sentence or a document. In this paper, we have attempted to classify textual content from on-line Telugu newspapers using well known generative model. We have used generic features like contextual words and their part-of-speech (POS) to build the learning model. By understanding the syntax a...

Most web sites provide display advertising and contextual advertising services simultaneously, which are the main ad formats in Internet. With multimedia format, the pricing of display ads is generally based on the occurrence of ad impressions. However, targeting their customers more accurately, contextual ads are performance based advertisements and are charged only if one visitor clicks a cli...

Despite the enormity of its quantity, printed or written forms of Chinese characters are composed from a limited number of common components. For example, the characters for pond(池), lake(湖), stream(江), river(河), sea(海) and ocean(洋) all contain a component in common, a three-dot component representing water. When this clue is explicitly highlighted to the students, the learning of Chinese chara...

The task of Word Sense Disambiguation (WSD) incorporates in its definition the role of ‘context’. We present our work on the development of a tool which allows for automatic acquisition and ranking of ‘context clues’ for WSD. These clue words are extracted from the contexts of words appearing in a large monolingual corpus. These mined collection of contextual clues form a discrimination net in ...

Language context plays an important role in determining the meaning of a word. To understand its meaning, it is imperative that be considered. Today, many students have difficulty understanding Arabic words as they are unable to context. However, words, phrases or sentences text can serve guide clue unknown words. This termed clues. study aims identify how clues help determine contextual Their ...

Activity recognition in sport is an attractive field for computer vision research. Game, player and team analysis are of great interest and research topics within this field emerge with the goal of automated analysis. The very specific underlying rules of sports can be used as prior knowledge for the recognition task and present a constrained environment for evaluation. This paper describes rec...

Models of errors during routine sequential action are typically interface-independent. We present here evidence that different task spatial layouts, however, result in different patterns of sequence errors. We explain this data by expanding upon the Memory for Goals framework’s activation-based, sequential process to include environmental (such as visual) contextual cues, as well as a richer pr...