We present a new application of the Image Analogies algorithm to be used for image segmentation. Our approach requires supervised training data, so we apply it to the domain of labeling human anatomical data. In the Visible Human Project, expert anatomists are overwhelmed with high-resolution images to analyze. We propose that the anatomist can work in conjunction with our approach, letting the...

the aim of this study was to compare the performance of analogy (implicit),explicit and discovery learning in the retention and transfer of a topspin shot underpsychological pressure. for this purpose, 36 volunteer high school students wererandomly allocated to three treatment conditions: explicit, analogy, and discoverylearning. after performing 300 trials in the acquisition phase, an immediat...

A number of Non-Photorealistic Rendering methods for producing artistic style images have been developed. Recently, a method called “Image Analogies” was proposed. This method is based on the idea of example-based filtering that uses a pair of images (an original image and a filtered image) as training data and creates an image which has a style that resembles the filtered image of the training...

Abstract This paper proposes a framework for representing in Bayesian terms the idea that analogical arguments of various degrees strength may provide inductive support to yet untested scientific hypotheses. On this account, contextual information plays crucial role determining whether, and what extent, given similarity or dissimilarity between source target confirm an empirical hypothesis over...