Results 1 to 10 of about 261,614 (261)
Implementing Relevance Feedback for Content-Based Medical Image Retrieval
Content-based image medical retrieval (CBMIR) is a technique for retrieving medical images on the basis of automatically derived image features such as colour, texture and shape. There are many applications of CBMIR, such as teaching, research, diagnosis
Ali Ahmed
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Research on relevance: A systematic review
Relevance is one of the concepts that many researchers consider it fundamental in information retrieval. Recently, relevance has also been given attention in Iran about which multiple studies have been conducted.
Yaghoub Norouzi +2 more
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The trademark registration process, apparent in all organizations nowadays, deals with recognition and retrieval of similar trademark images from trademark databases. Trademark retrieval is an imperative application area of content-based image retrieval.
Pinjarkar Latika +2 more
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An Adaptive Weight Method for Image Retrieval Based Multi-Feature Fusion
With the rapid development of information storage technology and the spread of the Internet, large capacity image databases that contain different contents in the images are generated.
Xiaojun Lu +4 more
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In this study, we propose a novel method for generating an image of the target face by using the generative adversarial network (GAN) and relevance feedback.
Caie Xu +4 more
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Neurophysiological evidence for evaluative feedback processing depending on goal relevance
Feedback signaling the success or failure of actions is readily exploited to implement goal-directed behavior. Two event-related brain potentials (ERPs) have been identified as reliable markers of evaluative feedback processing: the Feedback-Related ...
Mario Carlo Severo +4 more
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Deep CNN Combined With Relevance Feedback for Trademark Image Retrieval
Trademark recognition and retrieval is a vital appliance component of content-based image retrieval (CBIR). Reduction in the semantic gap, attaining more accuracy, reduction in computation complexity, and hence in execution time, are the major challenges
Pinjarkar Latika +2 more
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Pupillary Responses to Faces Are Modulated by Familiarity and Rewarding Context
Observing familiar (known, recognisable) and socially relevant (personally important) faces elicits activation in the brain’s reward circuit. Although smiling faces are often used as social rewards in research, it is firstly unclear whether familiarity ...
Magdalena Matyjek +2 more
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Modified one-class support vector machine for content-based image retrieval with relevance feedback
Image retrieval via traditional Content-Based Image Retrieval (CBIR) often incurs the semantic gap problem—non-correlation of image retrieval results with human semantic interpretation of images.
Oluwole A. Adegbola +4 more
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Background: The primary goal of medical education is to have competent physicians. Amidst the ongoing debates of clinical utility and relevance of the content of the traditional practical curriculum, there is an emergent need of restructuring the ...
Archana Dogra Chauhan +4 more
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