7 For object recognition, generally, a novel object is explained solely in terms 8 of a small set of exemplar objects to which it is visually similar. Inspired by 9 this method, I propose a recognition method which learns separate distance 10 functions for each exemplar. However, the distances are interpretable on an 11 absolute scale and can be thresholded to detect the presence of an object. ...

Health messages can be either informative or descriptive, and can emphasize either potential losses or gains. This study, guided by message framing theory and exemplification theory, specifically investigated the combined effects of messages with loss-gain frames mixed with statistics or exemplar appeals. The findings revealed a series of main effects and interactions for loss-gain frames and s...

Image inpainting refers to the task of filling in the missing or damaged regions of an image in an undetectable manner. Many researchers have proposed a large variety of exemplar based image inpainting algorithms to restore the structure and texture of damaged images. However no recent study has been undertaken for a comparative evaluation of these algorithms. In this paper, we are comparing va...

Keyphrases are widely used as a brief summary of documents. Since manual assignment is time-consuming, various unsupervised ranking methods based on importance scores are proposed for keyphrase extraction. In practice, the keyphrases of a document should not only be statistically important in the document, but also have a good coverage of the document. Based on this observation, we propose an u...

Experiments were conducted in which Ss made classification, recognition, and similarity judgments for 34 schematic faces. A multidimensional scaling (MDS) solution for the faces was derived on the basis of the similarity judgments. This MDS solution was then used in conjunction with an exemplar-similarity model to accurately predict Ss' classification and recognition judgments. Evidence was pro...

According to contextual focus, a dual processing theory, we shift between an analytic mode to apply conventional perspectives to a situation, and an associative mode to see things anew (Gabora, 2003). We present a model of this using the State-COntext-Property (SCOP) theory of concepts. A concept is modeled as existing in a state of potentiality until it interacts with a context, which causes i...

This paper presents an exemplar-based method to provide intuitive way for users to generate 3D human body shape from semantic parameters. In our approach, human models and their semantic parameters are correlated as a single linear system of equations. When users input a new set of semantic parameters, a new 3D human body will be synthesized from the exemplar human bodies in the database. This ...

Our simple fuzzy neural network first thins the set of exemplar input feature vectors and then centers a Gaussian function on each remaining one and saves its associated output label (target). Next, any unknown feature vector to be classified is put through each Gaussian to get the fuzzy truth that it belongs to that center. The fuzzy truths for all Gaussian centers are then maximized and the l...

In this paper, a novel exemplar-based completion model which is used to remove objects from natural image and texture image is proposed. Firstly the model selects a dynamic size of exemplar based on the local texture information. Secondly, the filling order of exemplar is determined by a cross-isophote diffusion data item. The data item is the result of partial differential equation (PDE) which...

Even speakers of American English who think they grew up in the Midwest do not agree on its boundaries. So what determines the meaning of 'Midwest' to a given speaker? We argue that the meaning of a geographical term like ‘Midwest’ is based in part on one's experience with locations that one knows to be part of the region. This exemplar-based knowledge causes the perceived location of the Midwe...