This paper considers the strategies of query expansion, relevance feedback and result fusion to increase both relevance and diversity in photo retrieval. In the text-based retrieval only experiments, the run with query expansion has better MAP and P20 than that without query expansion, and only has 0.85% decrease in CR20. Although relevance feedback run increases both MAP and P20, its CR20 decr...

In this paper, a survey of content based image retrieval techniques is given. Image retrieval method based on shape is analyzed primarily, the description and match based on shape are discussed and compared. And relevance feedback is also introduced. At last we put forward the problems in this field and suggest the directions of future

While most agile methodologies assume that change is inevitable, current approaches have adopted the strategy of defining practices and activities that are general enough to be adapted to many project settings. These methodologies have the ability to address variance and adaptability within the processes, but are unable to adopt different methodologies to meet the evolving needs of projects as ...

Automated assessment and immediate feedback are staple features of modern e-learning systems. In the case of programming exercises, most systems only provide binary (correct/incorrect) feedback, which is often inadequate for students struggling with the material, as they may need expert guidance in order to successfully overcome obstacles to understanding. We propose a Case-Based Reasoning (CBR...

Increased exposure to stress may cause health problems. An experienced clinician is able to diagnose a person’s stress level based on sensor readings. Large individual variations and absence of general rules make it difficult to diagnose stress and the risk of stress-related health problems. A decision support system providing clinicians with a second opinion would be valuable. We propose a nov...

This paper is concerned with the development of a more complex view of the analysis of social interactions in CMC systems. There is an apparent paradox in findings of previous studies of text-based CMC which may be due to the nature of this type of communication for it requires users to orient to two models: conversation and text. This is illustrated by showing the detailed analysis of instance...

Our system to KBA Track at TREC2012 is described in this paper, which includes preprocessing, index building, relevance feedback and similarity calculation. In particular, the Jaccard coefficient was applied to calculate the similarities between documents. We also show the evaluation results for our team and the comparison with the best and median evaluations.

Although the emotion of anger has, in recent years, been the subject of increasing theoretical analysis, there are relatively few accounts of how interventions designed to reduce problematic anger might be related to cognitively oriented theories of emotion. In this review of the literature we describe how a cognitive-behavioural approach to the treatment of those with anger-related problems mi...

Content Based Image Retrival needs relevance feedback to obtain more accurate results. By building a repository with KBDA, very good results may be obtained with the use of a Query Semantic Feature Vector.

Video object segmentation is a task that humans perform efficiently and effectively, but which is difficult for a computer to perform. Since video segmentation plays an important role for many emerging applications, as those enabled by the MPEG-4 and MPEG-7 standards, the ability to assess the segmentation quality in view of the application targets is a relevant task for which a standard, or ev...