نتایج جستجو برای: orthographic depth hypothesis
تعداد نتایج: 378096 فیلتر نتایج به سال:
In three typical phonological awareness tasks it was found that children with normal reading development sometimes give responses that are based on orthographic rather than phonological information. In dyslexic children, the number of occurrences of such orthographic intrusions was significantly lower. This effect cannot be explained by positing a lower degree of orthographic knowledge in dysle...
A new computational analysis is described for estimating 3D shapes from orthographic images of surfaces that are textured with planar cut contours. For any given contour pattern, this model provides a family of possible interpretations that are all related by affine scaling and shearing transformations in depth, depending on the specific values of its free parameters that are used to compute th...
Many alphabetic studies have evidenced that individuals with developmental dyslexia (DD) have deficits in visual magnocellular (M) pathway. However, there are few studies to investigate the M function of Chinese DD. Chinese is a logographic language, and Chinese characters are complicated in structure. Visual skills and orthographic processing abilities are particularly important for efficient ...
We consider the problem of scaling deep generative shape models to high-resolution. To this end, we introduce a novel method for the fast up-sampling of 3D objects in voxel space by super-resolution on the six orthographic depth projections. We demonstrate the training of object-specific super-resolution CNNs for depth maps and silhouettes. This allows us to efficiently generate high-resolution...
Learning to write words may strengthen orthographic representations and thus support word-specific recognition processes. This hypothesis applies especially to Chinese because its writing system encourages character-specific recognition that depends on accurate representation of orthographic form. We report 2 studies that test this hypothesis in adult learners of Chinese. In those studies, the ...
One key issue for computational models of visual-word recognition is the time course of orthographic and phonological information during reading. Previous research, using both behavioral and event related brain potential (ERP) measures, has shown that orthographic codes are activated very early but that phonological activation starts to occur immediately afterward. Here we report an ERP masked ...
The present study examined the cognitive profile and subtypes of developmental dyslexia in a nonalphabetic script, Chinese. One hundred and forty-seven Chinese primary school children with developmental dyslexia were tested on a number of literacy and cognitive tasks. The results showed that rapid naming deficit and orthographic deficit were the two most dominant types of cognitive deficits in ...
In the Vertex Planarization problem one asks to delete the minimum possible number of vertices from an input graph to obtain a planar graph. The parameterized complexity of this problem, parameterized by the solution size (the number of deleted vertices) has recently attracted significant attention. The state-of-the-art algorithm of Jansen, Lokshtanov, and Saurabh [SODA 2014] runs in time 2O(k ...
The present study addressed the issue of syllable activation during visual recognition of French words. In addition, it was investigated whether word orthographic information underlies syllable effects. To do so, words were selected according to the frequency of their first syllable (high versus low) and the frequency of the orthographic correspondence of this syllable (high versus low). For ex...
A single two dimensional (2D) image does not contain depth information. An infinite number of points in the three dimensional (3D) space are projected to the same point in the image plane. But a single 2D image has some monocular depth cues, by which we can make a hypothesis of depth variation in the image to generate a depth map. This paper proposes an interactive method of depth map generatio...
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