Other than only using image-to-image relevance conducted by existing methods, we can directly predict the stage label and annotate anatomical controlled terms for unknown image bags.
In content-based image retrieval, relevance feedback is studied extensively to narrow the gap between low-level image feature and high-level semantic concept.
Intelligent human computer interface and content-based image retrieval relevance feedback were also used to enable high-content screening of Drosophila (fruit fly) neurons (Hong, 2006; Lin et al., 2007).
While TAM postulates that perceived usefulness and perceived ease-of-use are the key factors in the adoption, its further development TAM2 posits subjective norm, image, job relevance, output quality and result demonstrability as additional antecedents to the perceived usefulness variable.
Recently, various forms of contextual information have been introduced to reduce this ambiguity, notably random fields that enhance the local coherence of regions and transitions, topic models that enhance the image-wide relevance of the labels used, and spatial priors that encode the expected absolute or relative image positions of the various labels.
In order to speed up the convergence of the query concept, we adopt two active learning schemes to select images during relevance feedback.
The image bears some relevance to "Struttin' With Some Barbecue," a New Year's booking at the Jazz Standard.
Previewing Cannes in the New York Times, Joan Dupont was also sceptical of its ability to project an image of renewed relevance: "With few American entries, and many old-timers with films ready to compete, the selection this year smacks of yet another family reunion".
He went on to point out the image's continuing relevance proves racism continues around the world: "the fact that an image that is 20 years old can still resonate today is indicative that there's still a lot to do". .
Each image's overall relevance to this query is calculated using Eq. 10.
