This paper reports the findings of a case study in which audio feedback replaced text-based feedback in asynchronous courses. Previous research has demonstrated that participants in online courses can build effective learning communities through text based communication alone. Similarly, it has been demonstrated that instructors for online courses can adequately project immediacy behaviors usin...

Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find similar images in an image database. Relevance feedback is often used in a CBIR system to help users express their preference and improve query results. Traditional relevance feedback relies on positive and negative exampl...

In today world of internet, it is important to feedback the users based on what they demand. Moreover, one of the important tasks in data mining is classification. Today, there are several classification techniques in order to solve the classification problems like Genetic Algorithm, Decision Tree, Bayesian and others. In this article, it is attempted to classify researchers to “Expert” and “No...

The subject of this paper is the semi-automatic construction of taxonomies over the Web. We address the problem of discovering high-quality resources that belong in a particular node of a taxonomy. We show that minimal additional effort is required to provide relevance feedback in a hyperlinked environment, resulting in significant and consistent improvement in quality. Furthermore, this feedba...

This paper proposes an effective framework for interactive region-based image retrieval. By utilizing fuzzy coarse segmentation and the graph structure for representing each image, the retrieval process was performed by measuring the image similarity according to the graph similarity. To assess the similarity between two graphs, fuzzy inter relations among regions feature vectors and spatial di...

We propose two extensions of the Local Similarity Pattern/Weighted Local Similarity Pattern (LSP/WLSP) image similarity models, proposed by Stejić (2002). The objective is to improve the retrieval precision, by increasing the expressive power of the LSP/WLSP models. We formalize LSP and WLSP as special cases of a general similarity model, which defines image similarity as a weighted mean of the...

Content-based image retrieval systems require the development of relevance feedback mechanisms that allow the user to progressively re®ne the system's response to a query. In this paper a new relevance feedback mechanism is described which evaluates the feature distributions of the images judged relevant, or not relevant, by the user and dynamically updates both the similarity measure and the q...

Relevance feedback mechanisms are adopted to refine image-based queries by asking users to mark the set of retrieved images as being relevant or not. In this paper, a relevance feedback technique based on the “dissimilarity representation” of images is proposed. Each image is represented by a vector whose components are the similarity values between the image itself and a “representation set” m...

In this article, a novel content based image retrieval (CBIR) system based on a newMultiscale Geometric Analysis (MGA)-tool, called Ripplet Transform Type-I (RT) is presented. To improve the retrieval result, a fuzzy relevance feedback mechanism (F-RFM) is also implemented. Fuzzy entropy based feature evaluation mechanism is used for automatic computation of revised feature’s importance and sim...

Current case acquisition and case base maintenance techniques implement quality assurance for cases through reviews or by analyzing case properties before making a case available for retrieval. Since reviews of cases with much textual data, in particular, cannot be fully automated, this is done by a maintenance team. With limited resources, this maintenance team becomes a bottleneck. To reduce ...