A similarity-based method for the generalization of face recognition over pose and expression

SIGLEAvailable from British Library Document Supply Centre-DSC:3292.8855(480) / BLDSC - British Library Document Supply CentreGBUnited Kingdo

How national IVF-registries are built up and should work – using data to improve clinical care

ESHRE will stage its 2021 Annual Meeting as an online congress and not a live event as originally planned. The virtual format, which has rapidly become the norm for all medical congresses, has already proved its potential for delivering content, not merely as a second best but now as the leading interim platform for exchanging information with a wide spread of participants. Online meetings, as our experiences with ESHRE webinars and Campus workshops show, have already set new standards of access and efficiency for sharing emerging data and opinion, and it’s our hope that ESHRE 2021 will meet those same standards in another outstanding congress

On the Perceptual Organization of Image Databases Using Cognitive Discriminative Biplots

A human-centered approach to image database organization is presented in this study. The management of a generic image database is pursued using a standard psychophysical experimental procedure followed by a well-suited data analysis methodology that is based on simple geometrical concepts. The end result is a cognitive discriminative biplot, which is a visualization of the intrinsic organization of the image database best reflecting the user's perception. The discriminating power of the introduced cognitive biplot constitutes an appealing tool for image retrieval and a flexible interface for visual data mining tasks. These ideas were evaluated in two ways. First, the separability of semantically distinct image classes was measured according to their reduced representations on the biplot. Then, a nearest-neighbor retrieval scheme was run on the emerged low-dimensional terrain to measure the suitability of the biplot for performing content-based image retrieval (CBIR). The achieved organization performance when compared with the performance of a contemporary system was found superior. This promoted the further discussion of packing these ideas into a realizable algorithmic procedure for an efficient and effective personalized CBIR system